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Research ArticleSpace-Time Block Coding with Beamforming forTriple-Polarized Uniform Linear Array Systems
Xin Su1 and Kyung Hi Chang2
1The Program in IT amp Media Convergence Studies Inha University Incheon 402-751 Republic of Korea2The Electronic Engineering Department Inha University Incheon 402-751 Republic of Korea
Correspondence should be addressed to Kyung Hi Chang khchanginhaackr
Received 25 May 2015 Revised 8 August 2015 Accepted 20 August 2015
Academic Editor Mourad Nedil
Copyright copy 2015 X Su and K H Chang This is an open access article distributed under the Creative Commons AttributionLicense which permits unrestricted use distribution and reproduction in any medium provided the original work is properlycited
Generally space-time block coding (STBC) and beamforming (BF) gains cannot be obtained simultaneously because the formerperforms well under a low correlated MIMO channel and the latter works efficiently in an environment with high correlationHowever array systems with antenna polarization have the potential to achieve gains with both techniques simultaneously becausethe cross-branch links in the system are usually uncorrelated The cross-array links on the other hand can be highly correlatedby setting the array element space equal to or less than a half-wavelength This paper proposes a scheme to explore STBC and BFsimultaneously via a triple-polarized uniform linear array (TPULA) system The proposed scheme was verified based on the LongTermEvolution-Advanced (LTE-A) specification under a polarizedMIMO (PMIMO) channelmodel and therewith the simulationresults confirmed the validity of our proposed scheme
1 Introduction
Recently there has been a gradual demand for the use of apolarized antenna system especially for 5G networks This ismainly because antenna polarization is a crucial resource tobe exploited for the design of space-limited wireless devicesTechniques such as space-time diversity multiplexing andarray processing can be applied to polarized antenna systemsto boost system throughput Althoughmany research articlesand ongoing projects have been working on antenna polar-ization [1ndash3] exploration into using space-time block coding(STBC) and beamforming (BF) techniques for polarizedantenna systems has not received much attention in theliterature Typically there is no efficient approach to simul-taneously obtaining STBC and BF gains in polarized antennasystems This paper proposes a robust scheme to cope withthis constraint by applying STBC in three transmit antennaeand BF techniques via a triple-polarized uniform linear array(TPULA) systemThat is the polarized antenna branches aregrouped into three sets that steer three orthogonal beams attheX-Y Z-X andY-Z planes STBC is additionally applied atthree orthogonally colocated branches of each array element(AE) to accommodate the space-time diversity gain
Via the proposed scheme by exploring the characteristicsof antenna polarization theMIMO techniques that is STBCand BF can be realized at mobile stations (MSs) simultane-ously to guarantee the system performance For exampletwo AEs could be employed at an MS with a space of 8 cmwhen the carrier frequency is 2GHz At each AE threeorthogonally colocated antenna branches perform STBC thatcan further enhance the system performance The imple-mentation complexity is increased by the proposed schemethat costs higher power consumption for the MS becauseit needs to calculate the BF weights as well as performingthe STBC decoding However it is very pivotal for cell-edge MSs to keep the performance in 5G communicationsystems especially for the applications without tolerance ofretransmissions In the simulation results the block error rate(BLER) performance improves which shows the validity ofour proposed scheme
The remainder of this paper is organized as followsSection 2 provides the TPULA configuration and Section 3describes our proposed scheme The simulation results arediscussed in Section 4 and finally our conclusions are drawnin Section 5
Hindawi Publishing CorporationInternational Journal of Antennas and PropagationVolume 2015 Article ID 819701 9 pageshttpdxdoiorg1011552015819701
2 International Journal of Antennas and Propagation
ZZ
YX
YX
TxB1
TxB3
TxB2
RxB1
RxB2
RxB3
(a) TPMIMOB
X
Z
Y
X
Z
Y
TxA1B1
TxA1B3
TxA1B2
RxA1B1 RxAQB1
RxA1B3
RxA1B2
RxAQB3
RxAQB2
middot middot middotmiddot middot middot
TxAPB1
TxAPB3
TxAPB2
(b) TPMIMOAampB (TPULA)
Figure 1 Orthogonal TPMIMO system
2 TPULA Configuration
Figure 1 provides examples of orthogonal triple-polarizedMIMO (TPMIMO) system in the array and branch (AampB)multiple antennae configuration According to Figure 1(a)there are three orthogonally colocated antenna branchesat the transmitter (Tx) and receiver (Rx) ports Thereforethis PMIMO transceiver is defined at the branch level asTPMIMOB By uniformly aligning the polarized antennaports (AEs) at the Tx and the Rx as illustrated in Figure 1(b)a PMIMO system is defined as TPMIMOAampB which indicatesthat antenna polarization is realized at both branch and arraylevels
The beamwidth is relevant to the array configurationwhere it is inversely proportional to the number of AEsand the AE space Because the space among three colocatedbranches at each AE is fixed at zero as shown in Figure 1which makes beamwidth scale up to 360∘ the beams shouldbe generated via corresponding cross-array branches ratherthan the colocated branches at each AE [3] Therefore aTPULA system can generate three orthogonal beams asfollows
(i) beam steered and varied in the X-Y plane is formedby the set of branches of TRxA
119901(119902)B1 where 119901(119902) =
1 2 119875(119876)(ii) beam steered and varied in the Z-X plane is formed
by the set of branches of TRxA119901(119902)
B2
(iii) beam steered and varied in the Y-Z plane is formedby the set of branches of TRxA
119901(119902)B3
Figure 2 depicts the 3D beams generated by a TPULAsystem where three orthogonal beams can be steered and
varied separately on the X-Y Z-X and Y-Z planes Byapplying the TPULA into an orthogonal frequency divisionmultiplexing (OFDM) system considering STBC and BF arobust MIMO transceiver is provided as seen in Figure 3which is explained in detail in the following section
3 TPULA System withSTBC and Beamforming
As studied by [1] the cross-array links (eg from TxA1B1
to RxA1B1and RxA
2B1) are highly correlated by setting
the AE space equal to or less than a half-wavelengthThe cross-branch links (eg from TxA
1B1and TxA
1B2to
RxA1B1) however are usually uncorrelated due to the space
polarization This inspired us to incorporate STBC and BFtechniques simultaneously in the TPULA system to boostperformance Moreover in order to achieve full-rate codingwith an odd number of transmit antennae quasiorthogonalSTBC (QO-STBC) has emerged in the literature [4 5] whichfully explores diversity gain but increases the complexity ofdecoding due to nonorthogonal interference In this paperwe propose a scheme to combine the QO-STBC for threetransmit antennae with BF techniques via a TPULA systemas follows
In Figure 3 the BF weights (119908Tx119901119887
and 119908Rx119902119887
) are multipliedbefore the inverse fast Fourier transform (IFFT) block of theTx and after the FFT block of the Rx where 119901 (1 2 119875)119902 (1 2 119876) and 119887 (1 2 3) denote the indexes of the TxAERxAE and antenna branch respectively Note that we haveconsidered the digital BF where the TxBF weights obtainedby zero-forcing BF are determined by the Rx location and theRxBF weights obtained by MMSE BF are determined based
International Journal of Antennas and Propagation 3
minus1 minus05 0 05 1
minus1 minus05 0 051
minus1minus050051minus1
minus08
minus06
minus04
minus02
0
02
04
06
08
1
Z
XY
Y minus1minus050051
minus1
minus08
minus06
minus04
minus02
0
02
04
06
08
1
Z
X
Figure 2 3D beams generated by a TPULA system
Y
X
QO-STBC
Y
X
QO-STBCdecodingQO-STBCdecoding
QO-STBCdecoding
QO-STBCdecodingQO-STBCdecodingQO-STBCdecoding
QO-STBCdecodingQO-STBCdecoding
QO-STBCdecoding
Rx
Rx
combining
Tx
IFFT and GI extension GI removal and FFT
Xp
Xp
Xp
wTx12
wTx13
wTx11
A1B2A1B2
A1B3A1B3
A1B1A1B1
wTx22
wTx23
wTx21
A2B3 A2B3
A2B2
A2B1
A2B2
A2B1
wRx12
wRx13
wRx11
wRx22
wRx23
wRx21
wRxQ2
wRxQ3
wRxQ1
AQB3AQB2
AQB1
APB3
APB2
APB1
wTxP2
wTxP3
wTxP1
Figure 3 OFDM-based TPULA system with STBC and BF
on reference signal The BF weights then differentiate eachother based on the polarized antenna branches of each arrayelement instead of each subcarrierX
119901in expression (1) is the
transmitted QO-STBC symbol matrix [4] where the Romannumeral is the symbol index 119894 is the time index modulo of 4(119868 = 4) and 119895 is the antenna index modulo of 3 (119869 = 3)
X119901=(
119909II 119909III 119909IV
119909lowast
I minus119909lowast
IV 119909lowast
III
119909IV 119909I 119909II
119909lowast
III minus119909lowast
II 119909lowast
I
)
119868minus119887119910minus119869
(1)
For the cross-branch links from the pth TxAE with threebranches to a single Rx branch 119902
119887 that is h
119901sim119902119887 the received
signal before the RxBF weights multiplication is given as
R119901sim119902119887= (h119901sim119902119887(WTx119901
⊙ X119901)119879
)119879
+ n119901sim119902119887
= (WTx119901
⊙ X119901) h119879119901sim119902119887
+ n119901sim119902119887
= (119903119901sim119902119887 I 119903119901sim119902119887 II 119903119901sim119902119887 III 119903119901sim119902119887 IV)
119879
(2)
4 International Journal of Antennas and Propagation
where ldquo⊙rdquo denotes the Hadamard product and WTx119901
is theTxBF weighting matrix given by
WTx119901
=(
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
) (3)
h119901sim119902119887
is the vector of the polarized cross-branch links givenas
h119901sim119902119887= (ℎ1199011sim119902119887ℎ1199012sim119902119887ℎ1199013sim119902119887) (4)
and n119901sim119902119887
is the noise vector given by
n119901sim119902119887= (120590119901sim119902119887 I 120590119901sim119902119887 II 120590119901sim119902119887 III 120590119901sim119902119887 IV)
119879
(5)
The minimum mean square error (MMSE) RxBF is usedto minimize the error between the RxBF output and theavailable reference signal where the optimal weights119908Rx
119902119887
canbe obtained by theWiener-Hoff equation [6]Then the signalafter RxBF is given by
R119901sim119902119887= 119908
Rx119902119887
R119901sim119902119887 (6)
The STBC decoding applied after the RxBF gives
X119901sim119902119887= D119901sim119902119887
T119901sim119902119887
= (119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(7)
Here D119901sim119902119887
is the STBC decoding matrix which is modifiedbased on equation (12) in [4] by considering TxBF weightsgiven by
D119901sim119902119887
=(
(
0 119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
(119908Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0 (119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887
(119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
0 119908Tx1199011
ℎ1199011sim119902119887
(119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0
)
)
(8)
And Τ119901sim119902119887
is defined as
Τ119901sim119902119887= (119903119901sim119902119887 I 119903
lowast
119901sim119902119887 II 119903119901sim119902119887 III 119903lowast
119901sim119902119887 IV)119879 (9)
by taking the conjugate of the second and the fourth elementsof R119901sim119902119887
The final output of the proposed scheme is obtainedby the last functional block in Figure 3 (ie the Rx combin-ing) given as
X =119876
sum
119902=1
3
sum
119887=1
(119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(10)
Li et al [4] used the receiver reported by Liu et al [7]to cope with the interference caused by nonorthogonality ofthe QO-STBS In this paper the complexity of interferencecancellation can be simplified by the adaptive setting of TxBFweights in (3) By calculation the decoded signal in (10) isgiven by
119909119901sim119902119887 I = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909I⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Desired singal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909III⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Interference caused by adjacent signal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Noise
119909119901sim119902119887 II = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
119909119901sim119902119887 III = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909III
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909I
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
International Journal of Antennas and Propagation 5
119909119901sim119902119887 IV = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
(11)
Formulae (11) indicate that 119909I and 119909III interfere with eachother as well as 119909II and 119909IV For interference cancellationit is better to set the scaling factor that is either 119908Tx
1199011
or119908
Tx1199013
to zero The setting of zero needs to be determined bythe off boresight angle (OBSA) effect discussed by Liu [8]where boresight refers to the axis vertical to the orientationof the array alignment For example in Figure 4 the solidbeam is generated by the set of branches of TxApB1 whilethe dotted beam is generated by the set of branches ofTxApB3 According to Liu [8] the beamwidth is known andis directly proportional to the OBSA value Therefore 119908Tx
1199013
=
0 (when 120572 lt 120573) or 119908Tx1199011
= 0 (when 120572 gt 120573) can be suggestedto avoid increasing the beamwidth Note that in this paperthe location of the Rx is assumed to be known by the TxAdditionally by using the zero-forcing TxBF we can have twooptions for TxBF weight settings that is (119908
1199011= 0 119908
1199012=
ℎminus1
1199012
1199081199013= ℎminus1
1199013
) or (1199081199013= 0 119908
1199012= ℎminus1
1199012
1199081199011= ℎminus1
1199011
) which isdeterminedmainly based on the location of the Rx Note thatwe did not focus on the TDD system therefore the channelreciprocity is not performed Since we assume the location ofRx is known by the Tx the BF weight used in the paper isinverse of the array propagation factor at Tx side [3]
According to Figure 3 the proposed TPULA system canbe easily extended as the polarized massive MIMO (PM-MIMO) system by employing a large number of AEs whichrequires a large number (tens or hundreds) of antennaeserving at both Tx and Rx Consequently the system designthen should consider the plenty of power consumption andhigh cost of RF chains Antenna selection scheme is necessaryfor PM-MIMOsystem in both transmitting end and receivingendAn energy efficient antenna selection algorithmbased onconvex optimization might be proposed where the numberof transmit antenna and the number of receive antenna needto be jointly optimized to maximize energy efficiency Goodperformance gain of energy efficiency should be obtainedcomparing with no antenna selection case
4 Performance Verification
We verified the proposed scheme via Monte Carlo simula-tions based on the LTE-A specification where Table 1 liststhe details of the parameter settings The downlink datamapping for LTE-A resource blocks used in the simulationsis demonstrated in Figure 5 which is based on the QO-STBC symbol matrix of expression (1) 119875A119901B1 119875A119901B2 and119875A119901B3 denote the pilots used for practical channel estimation
and a total of 24 pilots were used separately for 24 transmitantennae An extension of work by Su et al [9] is appliedto simulations of the polarized MIMO channel for whichchannel characteristics are also listed in Table 1 Note that thelocation of the Rx is updated periodically at each simulationloop
Sincewe have proposed the scheme to combine STBCandBF firstly and could not find any existing combined STBC-BF scheme for the performance comparison according toliteratures we only compared four transmission cases in thispaper to verify our proposal by discussing the achievementof STBC and BF gains Figure 6 shows the simulated BLERcurves including Case 1 of TPULA only (without STBC andBF) Case 2 of TPULA with STBC Case 3 of TPULA withSTBC and TxBF and Case 4 of TPULA with STBC andTRxBF where the target BLER for performance comparisonis fixed at 10minus2 According to Figure 6 Case 1 has the worstperformance because there is no space-time coding and BFgain achieved By applying the receiver studied by Liu et al [7]for interference cancellation almost 1 dB of signal-to-noiseratio (SNR) gain at the target BLER can be achievedwithCase2 under the indoor environment compared with Case 1 Inaddition compared with Case 2 about 23 dB of SNR gainunder the indoor environment at the target BLER is obtainedwith Case 3 when the TxBF is applied Compared with Case3 05 dB SNR gain at the target BLER is achieved by usingthe MMSE RxBF via Case 4 because the amount of error fedinto the STBC decoding process is further decreased Theerror floors occur under the outdoor environment due tohigh mobility at 100 kmh This indicates that the numberof pilots in the TPULA system is not enough to compensatethe channel correctly under an environment with fast time-varying phase response Again the efficiency of our proposedscheme can be quantified in terms of throughput Figure 7illustrates the simulated throughput curves By focusing onthe curves obtained under the indoor environment we canobserve that Case 4 of TPULA with STBC and TRxBF canachieve the highest throughput of 21Mbps at 119864
1198871198730of 0 dB
and 20Mbps 19Mbps and 17Mbps for Case 3 Case 2 andCase 1 at 119864
1198871198730of 0 dB respectively
In addition we evaluate the average BLER performancewhen two mobile users are employed In this case the eightAEs at Tx are divided into two groups where each group iswith four AEs and performs TxBF for a mobile user Figure 8illustrates the simulation results of average BLER for twousers with the transmission Case 4 According to Figure 8we can observe that the performance decreases a lot dueto the loss of diversity order at Tx because multiusers need
6 International Journal of Antennas and Propagation
30
210
60
240
90
270
120
300
150
330
180 0
Z
X
120573
120572
Figure 4 Setting of zero for TxBF weights
Subframe20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
x98x4xlowast1
x102x8xlowast5
x106x12xlowast9
x110x16xlowast13
x114x20xlowast17
x118x24xlowast21
x122x28xlowast25
x126x32xlowast29
x130x36xlowast33
x134x40xlowast37
x138x44xlowast41
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94x48xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
PA1B1
PA2B1
PA3B1
PA4B1
PA5B1
PA6B1
PA7B1
PA8B1
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
(a) Data mapping at TxApB1
20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
Subframe
x1
x5
x9
x13
x17
x21
x25
x29
x33
x37
x41
x45
x3
x7
x11
x15
x19
x23
x27
x31
x35
x39
x43
x47
x49
x53
x57
x61
x65
x69
x73
x77
x81
x85
x89
x93
x51
x55
x59
x63
x67
x71
x75
x79
x83
x87
x91
x95
x97
x101
x105
x109
x113
x117
x121
x125
x129
x133
x137
x141
x99
x103
x107
x111
x115
x119
x123
x127
x131
x135
x139
x143
minusxlowast100
minusxlowast104
minusxlowast108
minusxlowast112
minusxlowast116
minusxlowast120
minusxlowast124
minusxlowast128
minusxlowast132
minusxlowast136
minusxlowast140
minusxlowast144
minusxlowast98
minusxlowast102
minusxlowast106
minusxlowast110
minusxlowast114
minusxlowast118
minusxlowast122
minusxlowast126
minusxlowast130
minusxlowast134
minusxlowast138
minusxlowast142
minusxlowast50
minusxlowast54
minusxlowast58
minusxlowast62
minusxlowast66
minusxlowast70
minusxlowast74
minusxlowast78
minusxlowast82
minusxlowast86
minusxlowast90
minusxlowast94
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast56
minusxlowast52
minusxlowast65
minusxlowast96
minusxlowast2
minusxlowast6
minusxlowast10
minusxlowast14
minusxlowast18
minusxlowast22
minusxlowast26
minusxlowast30
minusxlowast34
minusxlowast38
minusxlowast42
minusxlowast46
minusxlowast4
minusxlowast8
minusxlowast12
minusxlowast16
minusxlowast20
minusxlowast24
minusxlowast28
minusxlowast32
minusxlowast36
minusxlowast40
minusxlowast44
minusxlowast48
PA1B2
PA2B2
PA3B2
PA4B2
PA5B2
PA6B2
PA7B2
PA8B2
(b) Data mapping at TxApB2
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
20 1 3 4 5 6 7 8 9 10 11 12 13Subframe
x98
x102
x106
x110
x114
x118
x122
x126
x130
x134
x138
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94
xlowast1
xlowast5
xlowast9
xlowast13
xlowast17
xlowast21
xlowast25
xlowast29
xlowast33
xlowast37
xlowast41
xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
x4
x8
x12
x16
x20
x24
x28
x32
x36
x40
x44
x48
PA1B3
PA2B3
PA3B3
PA4B3
PA5B3
PA6B3
PA7B3
PA8B3
(c) Data mapping at TxApB3
Figure 5 Downlink data mapping of the LTE-A resource blocks for the TPULA system
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
International Journal of
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VLSI Design
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Shock and Vibration
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Electrical and Computer Engineering
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Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
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Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
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Navigation and Observation
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DistributedSensor Networks
International Journal of
2 International Journal of Antennas and Propagation
ZZ
YX
YX
TxB1
TxB3
TxB2
RxB1
RxB2
RxB3
(a) TPMIMOB
X
Z
Y
X
Z
Y
TxA1B1
TxA1B3
TxA1B2
RxA1B1 RxAQB1
RxA1B3
RxA1B2
RxAQB3
RxAQB2
middot middot middotmiddot middot middot
TxAPB1
TxAPB3
TxAPB2
(b) TPMIMOAampB (TPULA)
Figure 1 Orthogonal TPMIMO system
2 TPULA Configuration
Figure 1 provides examples of orthogonal triple-polarizedMIMO (TPMIMO) system in the array and branch (AampB)multiple antennae configuration According to Figure 1(a)there are three orthogonally colocated antenna branchesat the transmitter (Tx) and receiver (Rx) ports Thereforethis PMIMO transceiver is defined at the branch level asTPMIMOB By uniformly aligning the polarized antennaports (AEs) at the Tx and the Rx as illustrated in Figure 1(b)a PMIMO system is defined as TPMIMOAampB which indicatesthat antenna polarization is realized at both branch and arraylevels
The beamwidth is relevant to the array configurationwhere it is inversely proportional to the number of AEsand the AE space Because the space among three colocatedbranches at each AE is fixed at zero as shown in Figure 1which makes beamwidth scale up to 360∘ the beams shouldbe generated via corresponding cross-array branches ratherthan the colocated branches at each AE [3] Therefore aTPULA system can generate three orthogonal beams asfollows
(i) beam steered and varied in the X-Y plane is formedby the set of branches of TRxA
119901(119902)B1 where 119901(119902) =
1 2 119875(119876)(ii) beam steered and varied in the Z-X plane is formed
by the set of branches of TRxA119901(119902)
B2
(iii) beam steered and varied in the Y-Z plane is formedby the set of branches of TRxA
119901(119902)B3
Figure 2 depicts the 3D beams generated by a TPULAsystem where three orthogonal beams can be steered and
varied separately on the X-Y Z-X and Y-Z planes Byapplying the TPULA into an orthogonal frequency divisionmultiplexing (OFDM) system considering STBC and BF arobust MIMO transceiver is provided as seen in Figure 3which is explained in detail in the following section
3 TPULA System withSTBC and Beamforming
As studied by [1] the cross-array links (eg from TxA1B1
to RxA1B1and RxA
2B1) are highly correlated by setting
the AE space equal to or less than a half-wavelengthThe cross-branch links (eg from TxA
1B1and TxA
1B2to
RxA1B1) however are usually uncorrelated due to the space
polarization This inspired us to incorporate STBC and BFtechniques simultaneously in the TPULA system to boostperformance Moreover in order to achieve full-rate codingwith an odd number of transmit antennae quasiorthogonalSTBC (QO-STBC) has emerged in the literature [4 5] whichfully explores diversity gain but increases the complexity ofdecoding due to nonorthogonal interference In this paperwe propose a scheme to combine the QO-STBC for threetransmit antennae with BF techniques via a TPULA systemas follows
In Figure 3 the BF weights (119908Tx119901119887
and 119908Rx119902119887
) are multipliedbefore the inverse fast Fourier transform (IFFT) block of theTx and after the FFT block of the Rx where 119901 (1 2 119875)119902 (1 2 119876) and 119887 (1 2 3) denote the indexes of the TxAERxAE and antenna branch respectively Note that we haveconsidered the digital BF where the TxBF weights obtainedby zero-forcing BF are determined by the Rx location and theRxBF weights obtained by MMSE BF are determined based
International Journal of Antennas and Propagation 3
minus1 minus05 0 05 1
minus1 minus05 0 051
minus1minus050051minus1
minus08
minus06
minus04
minus02
0
02
04
06
08
1
Z
XY
Y minus1minus050051
minus1
minus08
minus06
minus04
minus02
0
02
04
06
08
1
Z
X
Figure 2 3D beams generated by a TPULA system
Y
X
QO-STBC
Y
X
QO-STBCdecodingQO-STBCdecoding
QO-STBCdecoding
QO-STBCdecodingQO-STBCdecodingQO-STBCdecoding
QO-STBCdecodingQO-STBCdecoding
QO-STBCdecoding
Rx
Rx
combining
Tx
IFFT and GI extension GI removal and FFT
Xp
Xp
Xp
wTx12
wTx13
wTx11
A1B2A1B2
A1B3A1B3
A1B1A1B1
wTx22
wTx23
wTx21
A2B3 A2B3
A2B2
A2B1
A2B2
A2B1
wRx12
wRx13
wRx11
wRx22
wRx23
wRx21
wRxQ2
wRxQ3
wRxQ1
AQB3AQB2
AQB1
APB3
APB2
APB1
wTxP2
wTxP3
wTxP1
Figure 3 OFDM-based TPULA system with STBC and BF
on reference signal The BF weights then differentiate eachother based on the polarized antenna branches of each arrayelement instead of each subcarrierX
119901in expression (1) is the
transmitted QO-STBC symbol matrix [4] where the Romannumeral is the symbol index 119894 is the time index modulo of 4(119868 = 4) and 119895 is the antenna index modulo of 3 (119869 = 3)
X119901=(
119909II 119909III 119909IV
119909lowast
I minus119909lowast
IV 119909lowast
III
119909IV 119909I 119909II
119909lowast
III minus119909lowast
II 119909lowast
I
)
119868minus119887119910minus119869
(1)
For the cross-branch links from the pth TxAE with threebranches to a single Rx branch 119902
119887 that is h
119901sim119902119887 the received
signal before the RxBF weights multiplication is given as
R119901sim119902119887= (h119901sim119902119887(WTx119901
⊙ X119901)119879
)119879
+ n119901sim119902119887
= (WTx119901
⊙ X119901) h119879119901sim119902119887
+ n119901sim119902119887
= (119903119901sim119902119887 I 119903119901sim119902119887 II 119903119901sim119902119887 III 119903119901sim119902119887 IV)
119879
(2)
4 International Journal of Antennas and Propagation
where ldquo⊙rdquo denotes the Hadamard product and WTx119901
is theTxBF weighting matrix given by
WTx119901
=(
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
) (3)
h119901sim119902119887
is the vector of the polarized cross-branch links givenas
h119901sim119902119887= (ℎ1199011sim119902119887ℎ1199012sim119902119887ℎ1199013sim119902119887) (4)
and n119901sim119902119887
is the noise vector given by
n119901sim119902119887= (120590119901sim119902119887 I 120590119901sim119902119887 II 120590119901sim119902119887 III 120590119901sim119902119887 IV)
119879
(5)
The minimum mean square error (MMSE) RxBF is usedto minimize the error between the RxBF output and theavailable reference signal where the optimal weights119908Rx
119902119887
canbe obtained by theWiener-Hoff equation [6]Then the signalafter RxBF is given by
R119901sim119902119887= 119908
Rx119902119887
R119901sim119902119887 (6)
The STBC decoding applied after the RxBF gives
X119901sim119902119887= D119901sim119902119887
T119901sim119902119887
= (119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(7)
Here D119901sim119902119887
is the STBC decoding matrix which is modifiedbased on equation (12) in [4] by considering TxBF weightsgiven by
D119901sim119902119887
=(
(
0 119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
(119908Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0 (119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887
(119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
0 119908Tx1199011
ℎ1199011sim119902119887
(119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0
)
)
(8)
And Τ119901sim119902119887
is defined as
Τ119901sim119902119887= (119903119901sim119902119887 I 119903
lowast
119901sim119902119887 II 119903119901sim119902119887 III 119903lowast
119901sim119902119887 IV)119879 (9)
by taking the conjugate of the second and the fourth elementsof R119901sim119902119887
The final output of the proposed scheme is obtainedby the last functional block in Figure 3 (ie the Rx combin-ing) given as
X =119876
sum
119902=1
3
sum
119887=1
(119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(10)
Li et al [4] used the receiver reported by Liu et al [7]to cope with the interference caused by nonorthogonality ofthe QO-STBS In this paper the complexity of interferencecancellation can be simplified by the adaptive setting of TxBFweights in (3) By calculation the decoded signal in (10) isgiven by
119909119901sim119902119887 I = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909I⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Desired singal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909III⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Interference caused by adjacent signal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Noise
119909119901sim119902119887 II = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
119909119901sim119902119887 III = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909III
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909I
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
International Journal of Antennas and Propagation 5
119909119901sim119902119887 IV = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
(11)
Formulae (11) indicate that 119909I and 119909III interfere with eachother as well as 119909II and 119909IV For interference cancellationit is better to set the scaling factor that is either 119908Tx
1199011
or119908
Tx1199013
to zero The setting of zero needs to be determined bythe off boresight angle (OBSA) effect discussed by Liu [8]where boresight refers to the axis vertical to the orientationof the array alignment For example in Figure 4 the solidbeam is generated by the set of branches of TxApB1 whilethe dotted beam is generated by the set of branches ofTxApB3 According to Liu [8] the beamwidth is known andis directly proportional to the OBSA value Therefore 119908Tx
1199013
=
0 (when 120572 lt 120573) or 119908Tx1199011
= 0 (when 120572 gt 120573) can be suggestedto avoid increasing the beamwidth Note that in this paperthe location of the Rx is assumed to be known by the TxAdditionally by using the zero-forcing TxBF we can have twooptions for TxBF weight settings that is (119908
1199011= 0 119908
1199012=
ℎminus1
1199012
1199081199013= ℎminus1
1199013
) or (1199081199013= 0 119908
1199012= ℎminus1
1199012
1199081199011= ℎminus1
1199011
) which isdeterminedmainly based on the location of the Rx Note thatwe did not focus on the TDD system therefore the channelreciprocity is not performed Since we assume the location ofRx is known by the Tx the BF weight used in the paper isinverse of the array propagation factor at Tx side [3]
According to Figure 3 the proposed TPULA system canbe easily extended as the polarized massive MIMO (PM-MIMO) system by employing a large number of AEs whichrequires a large number (tens or hundreds) of antennaeserving at both Tx and Rx Consequently the system designthen should consider the plenty of power consumption andhigh cost of RF chains Antenna selection scheme is necessaryfor PM-MIMOsystem in both transmitting end and receivingendAn energy efficient antenna selection algorithmbased onconvex optimization might be proposed where the numberof transmit antenna and the number of receive antenna needto be jointly optimized to maximize energy efficiency Goodperformance gain of energy efficiency should be obtainedcomparing with no antenna selection case
4 Performance Verification
We verified the proposed scheme via Monte Carlo simula-tions based on the LTE-A specification where Table 1 liststhe details of the parameter settings The downlink datamapping for LTE-A resource blocks used in the simulationsis demonstrated in Figure 5 which is based on the QO-STBC symbol matrix of expression (1) 119875A119901B1 119875A119901B2 and119875A119901B3 denote the pilots used for practical channel estimation
and a total of 24 pilots were used separately for 24 transmitantennae An extension of work by Su et al [9] is appliedto simulations of the polarized MIMO channel for whichchannel characteristics are also listed in Table 1 Note that thelocation of the Rx is updated periodically at each simulationloop
Sincewe have proposed the scheme to combine STBCandBF firstly and could not find any existing combined STBC-BF scheme for the performance comparison according toliteratures we only compared four transmission cases in thispaper to verify our proposal by discussing the achievementof STBC and BF gains Figure 6 shows the simulated BLERcurves including Case 1 of TPULA only (without STBC andBF) Case 2 of TPULA with STBC Case 3 of TPULA withSTBC and TxBF and Case 4 of TPULA with STBC andTRxBF where the target BLER for performance comparisonis fixed at 10minus2 According to Figure 6 Case 1 has the worstperformance because there is no space-time coding and BFgain achieved By applying the receiver studied by Liu et al [7]for interference cancellation almost 1 dB of signal-to-noiseratio (SNR) gain at the target BLER can be achievedwithCase2 under the indoor environment compared with Case 1 Inaddition compared with Case 2 about 23 dB of SNR gainunder the indoor environment at the target BLER is obtainedwith Case 3 when the TxBF is applied Compared with Case3 05 dB SNR gain at the target BLER is achieved by usingthe MMSE RxBF via Case 4 because the amount of error fedinto the STBC decoding process is further decreased Theerror floors occur under the outdoor environment due tohigh mobility at 100 kmh This indicates that the numberof pilots in the TPULA system is not enough to compensatethe channel correctly under an environment with fast time-varying phase response Again the efficiency of our proposedscheme can be quantified in terms of throughput Figure 7illustrates the simulated throughput curves By focusing onthe curves obtained under the indoor environment we canobserve that Case 4 of TPULA with STBC and TRxBF canachieve the highest throughput of 21Mbps at 119864
1198871198730of 0 dB
and 20Mbps 19Mbps and 17Mbps for Case 3 Case 2 andCase 1 at 119864
1198871198730of 0 dB respectively
In addition we evaluate the average BLER performancewhen two mobile users are employed In this case the eightAEs at Tx are divided into two groups where each group iswith four AEs and performs TxBF for a mobile user Figure 8illustrates the simulation results of average BLER for twousers with the transmission Case 4 According to Figure 8we can observe that the performance decreases a lot dueto the loss of diversity order at Tx because multiusers need
6 International Journal of Antennas and Propagation
30
210
60
240
90
270
120
300
150
330
180 0
Z
X
120573
120572
Figure 4 Setting of zero for TxBF weights
Subframe20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
x98x4xlowast1
x102x8xlowast5
x106x12xlowast9
x110x16xlowast13
x114x20xlowast17
x118x24xlowast21
x122x28xlowast25
x126x32xlowast29
x130x36xlowast33
x134x40xlowast37
x138x44xlowast41
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94x48xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
PA1B1
PA2B1
PA3B1
PA4B1
PA5B1
PA6B1
PA7B1
PA8B1
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
(a) Data mapping at TxApB1
20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
Subframe
x1
x5
x9
x13
x17
x21
x25
x29
x33
x37
x41
x45
x3
x7
x11
x15
x19
x23
x27
x31
x35
x39
x43
x47
x49
x53
x57
x61
x65
x69
x73
x77
x81
x85
x89
x93
x51
x55
x59
x63
x67
x71
x75
x79
x83
x87
x91
x95
x97
x101
x105
x109
x113
x117
x121
x125
x129
x133
x137
x141
x99
x103
x107
x111
x115
x119
x123
x127
x131
x135
x139
x143
minusxlowast100
minusxlowast104
minusxlowast108
minusxlowast112
minusxlowast116
minusxlowast120
minusxlowast124
minusxlowast128
minusxlowast132
minusxlowast136
minusxlowast140
minusxlowast144
minusxlowast98
minusxlowast102
minusxlowast106
minusxlowast110
minusxlowast114
minusxlowast118
minusxlowast122
minusxlowast126
minusxlowast130
minusxlowast134
minusxlowast138
minusxlowast142
minusxlowast50
minusxlowast54
minusxlowast58
minusxlowast62
minusxlowast66
minusxlowast70
minusxlowast74
minusxlowast78
minusxlowast82
minusxlowast86
minusxlowast90
minusxlowast94
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast56
minusxlowast52
minusxlowast65
minusxlowast96
minusxlowast2
minusxlowast6
minusxlowast10
minusxlowast14
minusxlowast18
minusxlowast22
minusxlowast26
minusxlowast30
minusxlowast34
minusxlowast38
minusxlowast42
minusxlowast46
minusxlowast4
minusxlowast8
minusxlowast12
minusxlowast16
minusxlowast20
minusxlowast24
minusxlowast28
minusxlowast32
minusxlowast36
minusxlowast40
minusxlowast44
minusxlowast48
PA1B2
PA2B2
PA3B2
PA4B2
PA5B2
PA6B2
PA7B2
PA8B2
(b) Data mapping at TxApB2
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
20 1 3 4 5 6 7 8 9 10 11 12 13Subframe
x98
x102
x106
x110
x114
x118
x122
x126
x130
x134
x138
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94
xlowast1
xlowast5
xlowast9
xlowast13
xlowast17
xlowast21
xlowast25
xlowast29
xlowast33
xlowast37
xlowast41
xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
x4
x8
x12
x16
x20
x24
x28
x32
x36
x40
x44
x48
PA1B3
PA2B3
PA3B3
PA4B3
PA5B3
PA6B3
PA7B3
PA8B3
(c) Data mapping at TxApB3
Figure 5 Downlink data mapping of the LTE-A resource blocks for the TPULA system
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
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Electrical and Computer Engineering
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Volume 2014
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International Journal of
International Journal of Antennas and Propagation 3
minus1 minus05 0 05 1
minus1 minus05 0 051
minus1minus050051minus1
minus08
minus06
minus04
minus02
0
02
04
06
08
1
Z
XY
Y minus1minus050051
minus1
minus08
minus06
minus04
minus02
0
02
04
06
08
1
Z
X
Figure 2 3D beams generated by a TPULA system
Y
X
QO-STBC
Y
X
QO-STBCdecodingQO-STBCdecoding
QO-STBCdecoding
QO-STBCdecodingQO-STBCdecodingQO-STBCdecoding
QO-STBCdecodingQO-STBCdecoding
QO-STBCdecoding
Rx
Rx
combining
Tx
IFFT and GI extension GI removal and FFT
Xp
Xp
Xp
wTx12
wTx13
wTx11
A1B2A1B2
A1B3A1B3
A1B1A1B1
wTx22
wTx23
wTx21
A2B3 A2B3
A2B2
A2B1
A2B2
A2B1
wRx12
wRx13
wRx11
wRx22
wRx23
wRx21
wRxQ2
wRxQ3
wRxQ1
AQB3AQB2
AQB1
APB3
APB2
APB1
wTxP2
wTxP3
wTxP1
Figure 3 OFDM-based TPULA system with STBC and BF
on reference signal The BF weights then differentiate eachother based on the polarized antenna branches of each arrayelement instead of each subcarrierX
119901in expression (1) is the
transmitted QO-STBC symbol matrix [4] where the Romannumeral is the symbol index 119894 is the time index modulo of 4(119868 = 4) and 119895 is the antenna index modulo of 3 (119869 = 3)
X119901=(
119909II 119909III 119909IV
119909lowast
I minus119909lowast
IV 119909lowast
III
119909IV 119909I 119909II
119909lowast
III minus119909lowast
II 119909lowast
I
)
119868minus119887119910minus119869
(1)
For the cross-branch links from the pth TxAE with threebranches to a single Rx branch 119902
119887 that is h
119901sim119902119887 the received
signal before the RxBF weights multiplication is given as
R119901sim119902119887= (h119901sim119902119887(WTx119901
⊙ X119901)119879
)119879
+ n119901sim119902119887
= (WTx119901
⊙ X119901) h119879119901sim119902119887
+ n119901sim119902119887
= (119903119901sim119902119887 I 119903119901sim119902119887 II 119903119901sim119902119887 III 119903119901sim119902119887 IV)
119879
(2)
4 International Journal of Antennas and Propagation
where ldquo⊙rdquo denotes the Hadamard product and WTx119901
is theTxBF weighting matrix given by
WTx119901
=(
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
) (3)
h119901sim119902119887
is the vector of the polarized cross-branch links givenas
h119901sim119902119887= (ℎ1199011sim119902119887ℎ1199012sim119902119887ℎ1199013sim119902119887) (4)
and n119901sim119902119887
is the noise vector given by
n119901sim119902119887= (120590119901sim119902119887 I 120590119901sim119902119887 II 120590119901sim119902119887 III 120590119901sim119902119887 IV)
119879
(5)
The minimum mean square error (MMSE) RxBF is usedto minimize the error between the RxBF output and theavailable reference signal where the optimal weights119908Rx
119902119887
canbe obtained by theWiener-Hoff equation [6]Then the signalafter RxBF is given by
R119901sim119902119887= 119908
Rx119902119887
R119901sim119902119887 (6)
The STBC decoding applied after the RxBF gives
X119901sim119902119887= D119901sim119902119887
T119901sim119902119887
= (119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(7)
Here D119901sim119902119887
is the STBC decoding matrix which is modifiedbased on equation (12) in [4] by considering TxBF weightsgiven by
D119901sim119902119887
=(
(
0 119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
(119908Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0 (119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887
(119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
0 119908Tx1199011
ℎ1199011sim119902119887
(119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0
)
)
(8)
And Τ119901sim119902119887
is defined as
Τ119901sim119902119887= (119903119901sim119902119887 I 119903
lowast
119901sim119902119887 II 119903119901sim119902119887 III 119903lowast
119901sim119902119887 IV)119879 (9)
by taking the conjugate of the second and the fourth elementsof R119901sim119902119887
The final output of the proposed scheme is obtainedby the last functional block in Figure 3 (ie the Rx combin-ing) given as
X =119876
sum
119902=1
3
sum
119887=1
(119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(10)
Li et al [4] used the receiver reported by Liu et al [7]to cope with the interference caused by nonorthogonality ofthe QO-STBS In this paper the complexity of interferencecancellation can be simplified by the adaptive setting of TxBFweights in (3) By calculation the decoded signal in (10) isgiven by
119909119901sim119902119887 I = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909I⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Desired singal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909III⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Interference caused by adjacent signal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Noise
119909119901sim119902119887 II = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
119909119901sim119902119887 III = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909III
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909I
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
International Journal of Antennas and Propagation 5
119909119901sim119902119887 IV = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
(11)
Formulae (11) indicate that 119909I and 119909III interfere with eachother as well as 119909II and 119909IV For interference cancellationit is better to set the scaling factor that is either 119908Tx
1199011
or119908
Tx1199013
to zero The setting of zero needs to be determined bythe off boresight angle (OBSA) effect discussed by Liu [8]where boresight refers to the axis vertical to the orientationof the array alignment For example in Figure 4 the solidbeam is generated by the set of branches of TxApB1 whilethe dotted beam is generated by the set of branches ofTxApB3 According to Liu [8] the beamwidth is known andis directly proportional to the OBSA value Therefore 119908Tx
1199013
=
0 (when 120572 lt 120573) or 119908Tx1199011
= 0 (when 120572 gt 120573) can be suggestedto avoid increasing the beamwidth Note that in this paperthe location of the Rx is assumed to be known by the TxAdditionally by using the zero-forcing TxBF we can have twooptions for TxBF weight settings that is (119908
1199011= 0 119908
1199012=
ℎminus1
1199012
1199081199013= ℎminus1
1199013
) or (1199081199013= 0 119908
1199012= ℎminus1
1199012
1199081199011= ℎminus1
1199011
) which isdeterminedmainly based on the location of the Rx Note thatwe did not focus on the TDD system therefore the channelreciprocity is not performed Since we assume the location ofRx is known by the Tx the BF weight used in the paper isinverse of the array propagation factor at Tx side [3]
According to Figure 3 the proposed TPULA system canbe easily extended as the polarized massive MIMO (PM-MIMO) system by employing a large number of AEs whichrequires a large number (tens or hundreds) of antennaeserving at both Tx and Rx Consequently the system designthen should consider the plenty of power consumption andhigh cost of RF chains Antenna selection scheme is necessaryfor PM-MIMOsystem in both transmitting end and receivingendAn energy efficient antenna selection algorithmbased onconvex optimization might be proposed where the numberof transmit antenna and the number of receive antenna needto be jointly optimized to maximize energy efficiency Goodperformance gain of energy efficiency should be obtainedcomparing with no antenna selection case
4 Performance Verification
We verified the proposed scheme via Monte Carlo simula-tions based on the LTE-A specification where Table 1 liststhe details of the parameter settings The downlink datamapping for LTE-A resource blocks used in the simulationsis demonstrated in Figure 5 which is based on the QO-STBC symbol matrix of expression (1) 119875A119901B1 119875A119901B2 and119875A119901B3 denote the pilots used for practical channel estimation
and a total of 24 pilots were used separately for 24 transmitantennae An extension of work by Su et al [9] is appliedto simulations of the polarized MIMO channel for whichchannel characteristics are also listed in Table 1 Note that thelocation of the Rx is updated periodically at each simulationloop
Sincewe have proposed the scheme to combine STBCandBF firstly and could not find any existing combined STBC-BF scheme for the performance comparison according toliteratures we only compared four transmission cases in thispaper to verify our proposal by discussing the achievementof STBC and BF gains Figure 6 shows the simulated BLERcurves including Case 1 of TPULA only (without STBC andBF) Case 2 of TPULA with STBC Case 3 of TPULA withSTBC and TxBF and Case 4 of TPULA with STBC andTRxBF where the target BLER for performance comparisonis fixed at 10minus2 According to Figure 6 Case 1 has the worstperformance because there is no space-time coding and BFgain achieved By applying the receiver studied by Liu et al [7]for interference cancellation almost 1 dB of signal-to-noiseratio (SNR) gain at the target BLER can be achievedwithCase2 under the indoor environment compared with Case 1 Inaddition compared with Case 2 about 23 dB of SNR gainunder the indoor environment at the target BLER is obtainedwith Case 3 when the TxBF is applied Compared with Case3 05 dB SNR gain at the target BLER is achieved by usingthe MMSE RxBF via Case 4 because the amount of error fedinto the STBC decoding process is further decreased Theerror floors occur under the outdoor environment due tohigh mobility at 100 kmh This indicates that the numberof pilots in the TPULA system is not enough to compensatethe channel correctly under an environment with fast time-varying phase response Again the efficiency of our proposedscheme can be quantified in terms of throughput Figure 7illustrates the simulated throughput curves By focusing onthe curves obtained under the indoor environment we canobserve that Case 4 of TPULA with STBC and TRxBF canachieve the highest throughput of 21Mbps at 119864
1198871198730of 0 dB
and 20Mbps 19Mbps and 17Mbps for Case 3 Case 2 andCase 1 at 119864
1198871198730of 0 dB respectively
In addition we evaluate the average BLER performancewhen two mobile users are employed In this case the eightAEs at Tx are divided into two groups where each group iswith four AEs and performs TxBF for a mobile user Figure 8illustrates the simulation results of average BLER for twousers with the transmission Case 4 According to Figure 8we can observe that the performance decreases a lot dueto the loss of diversity order at Tx because multiusers need
6 International Journal of Antennas and Propagation
30
210
60
240
90
270
120
300
150
330
180 0
Z
X
120573
120572
Figure 4 Setting of zero for TxBF weights
Subframe20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
x98x4xlowast1
x102x8xlowast5
x106x12xlowast9
x110x16xlowast13
x114x20xlowast17
x118x24xlowast21
x122x28xlowast25
x126x32xlowast29
x130x36xlowast33
x134x40xlowast37
x138x44xlowast41
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94x48xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
PA1B1
PA2B1
PA3B1
PA4B1
PA5B1
PA6B1
PA7B1
PA8B1
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
(a) Data mapping at TxApB1
20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
Subframe
x1
x5
x9
x13
x17
x21
x25
x29
x33
x37
x41
x45
x3
x7
x11
x15
x19
x23
x27
x31
x35
x39
x43
x47
x49
x53
x57
x61
x65
x69
x73
x77
x81
x85
x89
x93
x51
x55
x59
x63
x67
x71
x75
x79
x83
x87
x91
x95
x97
x101
x105
x109
x113
x117
x121
x125
x129
x133
x137
x141
x99
x103
x107
x111
x115
x119
x123
x127
x131
x135
x139
x143
minusxlowast100
minusxlowast104
minusxlowast108
minusxlowast112
minusxlowast116
minusxlowast120
minusxlowast124
minusxlowast128
minusxlowast132
minusxlowast136
minusxlowast140
minusxlowast144
minusxlowast98
minusxlowast102
minusxlowast106
minusxlowast110
minusxlowast114
minusxlowast118
minusxlowast122
minusxlowast126
minusxlowast130
minusxlowast134
minusxlowast138
minusxlowast142
minusxlowast50
minusxlowast54
minusxlowast58
minusxlowast62
minusxlowast66
minusxlowast70
minusxlowast74
minusxlowast78
minusxlowast82
minusxlowast86
minusxlowast90
minusxlowast94
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast56
minusxlowast52
minusxlowast65
minusxlowast96
minusxlowast2
minusxlowast6
minusxlowast10
minusxlowast14
minusxlowast18
minusxlowast22
minusxlowast26
minusxlowast30
minusxlowast34
minusxlowast38
minusxlowast42
minusxlowast46
minusxlowast4
minusxlowast8
minusxlowast12
minusxlowast16
minusxlowast20
minusxlowast24
minusxlowast28
minusxlowast32
minusxlowast36
minusxlowast40
minusxlowast44
minusxlowast48
PA1B2
PA2B2
PA3B2
PA4B2
PA5B2
PA6B2
PA7B2
PA8B2
(b) Data mapping at TxApB2
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
20 1 3 4 5 6 7 8 9 10 11 12 13Subframe
x98
x102
x106
x110
x114
x118
x122
x126
x130
x134
x138
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94
xlowast1
xlowast5
xlowast9
xlowast13
xlowast17
xlowast21
xlowast25
xlowast29
xlowast33
xlowast37
xlowast41
xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
x4
x8
x12
x16
x20
x24
x28
x32
x36
x40
x44
x48
PA1B3
PA2B3
PA3B3
PA4B3
PA5B3
PA6B3
PA7B3
PA8B3
(c) Data mapping at TxApB3
Figure 5 Downlink data mapping of the LTE-A resource blocks for the TPULA system
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
International Journal of
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Active and Passive Electronic Components
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Journal ofEngineeringVolume 2014
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VLSI Design
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Shock and Vibration
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Civil EngineeringAdvances in
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Electrical and Computer Engineering
Journal of
Advances inOptoElectronics
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Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
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Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
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Chemical EngineeringInternational Journal of Antennas and
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International Journal of
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Navigation and Observation
International Journal of
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DistributedSensor Networks
International Journal of
4 International Journal of Antennas and Propagation
where ldquo⊙rdquo denotes the Hadamard product and WTx119901
is theTxBF weighting matrix given by
WTx119901
=(
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
119908Tx1199011
119908Tx1199012
119908Tx1199013
) (3)
h119901sim119902119887
is the vector of the polarized cross-branch links givenas
h119901sim119902119887= (ℎ1199011sim119902119887ℎ1199012sim119902119887ℎ1199013sim119902119887) (4)
and n119901sim119902119887
is the noise vector given by
n119901sim119902119887= (120590119901sim119902119887 I 120590119901sim119902119887 II 120590119901sim119902119887 III 120590119901sim119902119887 IV)
119879
(5)
The minimum mean square error (MMSE) RxBF is usedto minimize the error between the RxBF output and theavailable reference signal where the optimal weights119908Rx
119902119887
canbe obtained by theWiener-Hoff equation [6]Then the signalafter RxBF is given by
R119901sim119902119887= 119908
Rx119902119887
R119901sim119902119887 (6)
The STBC decoding applied after the RxBF gives
X119901sim119902119887= D119901sim119902119887
T119901sim119902119887
= (119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(7)
Here D119901sim119902119887
is the STBC decoding matrix which is modifiedbased on equation (12) in [4] by considering TxBF weightsgiven by
D119901sim119902119887
=(
(
0 119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
(119908Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0 (119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887
(119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
119908Tx1199013
ℎ1199013sim119902119887
0 119908Tx1199011
ℎ1199011sim119902119887
(119908Tx1199013
)lowast
ℎlowast
1199013sim119902119887
minus119908Tx1199012
ℎ1199012sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
0
)
)
(8)
And Τ119901sim119902119887
is defined as
Τ119901sim119902119887= (119903119901sim119902119887 I 119903
lowast
119901sim119902119887 II 119903119901sim119902119887 III 119903lowast
119901sim119902119887 IV)119879 (9)
by taking the conjugate of the second and the fourth elementsof R119901sim119902119887
The final output of the proposed scheme is obtainedby the last functional block in Figure 3 (ie the Rx combin-ing) given as
X =119876
sum
119902=1
3
sum
119887=1
(119909119901sim119902119887 I 119909119901sim119902119887 II 119909119901sim119902119887 III 119909119901sim119902119887 IV)
119879
(10)
Li et al [4] used the receiver reported by Liu et al [7]to cope with the interference caused by nonorthogonality ofthe QO-STBS In this paper the complexity of interferencecancellation can be simplified by the adaptive setting of TxBFweights in (3) By calculation the decoded signal in (10) isgiven by
119909119901sim119902119887 I = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909I⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Desired singal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909III⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Interference caused by adjacent signal
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟⏟
Noise
119909119901sim119902119887 II = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
119909119901sim119902119887 III = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909III
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909I
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
International Journal of Antennas and Propagation 5
119909119901sim119902119887 IV = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
(11)
Formulae (11) indicate that 119909I and 119909III interfere with eachother as well as 119909II and 119909IV For interference cancellationit is better to set the scaling factor that is either 119908Tx
1199011
or119908
Tx1199013
to zero The setting of zero needs to be determined bythe off boresight angle (OBSA) effect discussed by Liu [8]where boresight refers to the axis vertical to the orientationof the array alignment For example in Figure 4 the solidbeam is generated by the set of branches of TxApB1 whilethe dotted beam is generated by the set of branches ofTxApB3 According to Liu [8] the beamwidth is known andis directly proportional to the OBSA value Therefore 119908Tx
1199013
=
0 (when 120572 lt 120573) or 119908Tx1199011
= 0 (when 120572 gt 120573) can be suggestedto avoid increasing the beamwidth Note that in this paperthe location of the Rx is assumed to be known by the TxAdditionally by using the zero-forcing TxBF we can have twooptions for TxBF weight settings that is (119908
1199011= 0 119908
1199012=
ℎminus1
1199012
1199081199013= ℎminus1
1199013
) or (1199081199013= 0 119908
1199012= ℎminus1
1199012
1199081199011= ℎminus1
1199011
) which isdeterminedmainly based on the location of the Rx Note thatwe did not focus on the TDD system therefore the channelreciprocity is not performed Since we assume the location ofRx is known by the Tx the BF weight used in the paper isinverse of the array propagation factor at Tx side [3]
According to Figure 3 the proposed TPULA system canbe easily extended as the polarized massive MIMO (PM-MIMO) system by employing a large number of AEs whichrequires a large number (tens or hundreds) of antennaeserving at both Tx and Rx Consequently the system designthen should consider the plenty of power consumption andhigh cost of RF chains Antenna selection scheme is necessaryfor PM-MIMOsystem in both transmitting end and receivingendAn energy efficient antenna selection algorithmbased onconvex optimization might be proposed where the numberof transmit antenna and the number of receive antenna needto be jointly optimized to maximize energy efficiency Goodperformance gain of energy efficiency should be obtainedcomparing with no antenna selection case
4 Performance Verification
We verified the proposed scheme via Monte Carlo simula-tions based on the LTE-A specification where Table 1 liststhe details of the parameter settings The downlink datamapping for LTE-A resource blocks used in the simulationsis demonstrated in Figure 5 which is based on the QO-STBC symbol matrix of expression (1) 119875A119901B1 119875A119901B2 and119875A119901B3 denote the pilots used for practical channel estimation
and a total of 24 pilots were used separately for 24 transmitantennae An extension of work by Su et al [9] is appliedto simulations of the polarized MIMO channel for whichchannel characteristics are also listed in Table 1 Note that thelocation of the Rx is updated periodically at each simulationloop
Sincewe have proposed the scheme to combine STBCandBF firstly and could not find any existing combined STBC-BF scheme for the performance comparison according toliteratures we only compared four transmission cases in thispaper to verify our proposal by discussing the achievementof STBC and BF gains Figure 6 shows the simulated BLERcurves including Case 1 of TPULA only (without STBC andBF) Case 2 of TPULA with STBC Case 3 of TPULA withSTBC and TxBF and Case 4 of TPULA with STBC andTRxBF where the target BLER for performance comparisonis fixed at 10minus2 According to Figure 6 Case 1 has the worstperformance because there is no space-time coding and BFgain achieved By applying the receiver studied by Liu et al [7]for interference cancellation almost 1 dB of signal-to-noiseratio (SNR) gain at the target BLER can be achievedwithCase2 under the indoor environment compared with Case 1 Inaddition compared with Case 2 about 23 dB of SNR gainunder the indoor environment at the target BLER is obtainedwith Case 3 when the TxBF is applied Compared with Case3 05 dB SNR gain at the target BLER is achieved by usingthe MMSE RxBF via Case 4 because the amount of error fedinto the STBC decoding process is further decreased Theerror floors occur under the outdoor environment due tohigh mobility at 100 kmh This indicates that the numberof pilots in the TPULA system is not enough to compensatethe channel correctly under an environment with fast time-varying phase response Again the efficiency of our proposedscheme can be quantified in terms of throughput Figure 7illustrates the simulated throughput curves By focusing onthe curves obtained under the indoor environment we canobserve that Case 4 of TPULA with STBC and TRxBF canachieve the highest throughput of 21Mbps at 119864
1198871198730of 0 dB
and 20Mbps 19Mbps and 17Mbps for Case 3 Case 2 andCase 1 at 119864
1198871198730of 0 dB respectively
In addition we evaluate the average BLER performancewhen two mobile users are employed In this case the eightAEs at Tx are divided into two groups where each group iswith four AEs and performs TxBF for a mobile user Figure 8illustrates the simulation results of average BLER for twousers with the transmission Case 4 According to Figure 8we can observe that the performance decreases a lot dueto the loss of diversity order at Tx because multiusers need
6 International Journal of Antennas and Propagation
30
210
60
240
90
270
120
300
150
330
180 0
Z
X
120573
120572
Figure 4 Setting of zero for TxBF weights
Subframe20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
x98x4xlowast1
x102x8xlowast5
x106x12xlowast9
x110x16xlowast13
x114x20xlowast17
x118x24xlowast21
x122x28xlowast25
x126x32xlowast29
x130x36xlowast33
x134x40xlowast37
x138x44xlowast41
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94x48xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
PA1B1
PA2B1
PA3B1
PA4B1
PA5B1
PA6B1
PA7B1
PA8B1
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
(a) Data mapping at TxApB1
20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
Subframe
x1
x5
x9
x13
x17
x21
x25
x29
x33
x37
x41
x45
x3
x7
x11
x15
x19
x23
x27
x31
x35
x39
x43
x47
x49
x53
x57
x61
x65
x69
x73
x77
x81
x85
x89
x93
x51
x55
x59
x63
x67
x71
x75
x79
x83
x87
x91
x95
x97
x101
x105
x109
x113
x117
x121
x125
x129
x133
x137
x141
x99
x103
x107
x111
x115
x119
x123
x127
x131
x135
x139
x143
minusxlowast100
minusxlowast104
minusxlowast108
minusxlowast112
minusxlowast116
minusxlowast120
minusxlowast124
minusxlowast128
minusxlowast132
minusxlowast136
minusxlowast140
minusxlowast144
minusxlowast98
minusxlowast102
minusxlowast106
minusxlowast110
minusxlowast114
minusxlowast118
minusxlowast122
minusxlowast126
minusxlowast130
minusxlowast134
minusxlowast138
minusxlowast142
minusxlowast50
minusxlowast54
minusxlowast58
minusxlowast62
minusxlowast66
minusxlowast70
minusxlowast74
minusxlowast78
minusxlowast82
minusxlowast86
minusxlowast90
minusxlowast94
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast56
minusxlowast52
minusxlowast65
minusxlowast96
minusxlowast2
minusxlowast6
minusxlowast10
minusxlowast14
minusxlowast18
minusxlowast22
minusxlowast26
minusxlowast30
minusxlowast34
minusxlowast38
minusxlowast42
minusxlowast46
minusxlowast4
minusxlowast8
minusxlowast12
minusxlowast16
minusxlowast20
minusxlowast24
minusxlowast28
minusxlowast32
minusxlowast36
minusxlowast40
minusxlowast44
minusxlowast48
PA1B2
PA2B2
PA3B2
PA4B2
PA5B2
PA6B2
PA7B2
PA8B2
(b) Data mapping at TxApB2
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
20 1 3 4 5 6 7 8 9 10 11 12 13Subframe
x98
x102
x106
x110
x114
x118
x122
x126
x130
x134
x138
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94
xlowast1
xlowast5
xlowast9
xlowast13
xlowast17
xlowast21
xlowast25
xlowast29
xlowast33
xlowast37
xlowast41
xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
x4
x8
x12
x16
x20
x24
x28
x32
x36
x40
x44
x48
PA1B3
PA2B3
PA3B3
PA4B3
PA5B3
PA6B3
PA7B3
PA8B3
(c) Data mapping at TxApB3
Figure 5 Downlink data mapping of the LTE-A resource blocks for the TPULA system
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
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Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
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Chemical EngineeringInternational Journal of Antennas and
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International Journal of
International Journal of Antennas and Propagation 5
119909119901sim119902119887 IV = (119908
Rx119902119887
)2
(10038161003816100381610038161003816119908
Tx1199011
ℎ1199011sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199012
ℎ1199012sim119902119887
10038161003816100381610038161003816
2
+10038161003816100381610038161003816119908
Tx1199013
ℎ1199013sim119902119887
10038161003816100381610038161003816
2
) 119909IV
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887(119908
Tx1199013
)lowast
ℎlowast
1199013sim119902119887
+ 119908Tx1199013
ℎ1199013sim119902119887(119908
Tx1199011
)lowast
ℎlowast
1199011sim119902119887
] 119909II
+ (119908Rx119902119887
)2
[119908Tx1199011
ℎ1199011sim119902119887120590lowast
119901sim119902119887 II + (119908Tx1199012
)lowast
ℎlowast
1199012sim119902119887
120590119901sim119902119887 III + 119908
Tx1199013
ℎ1199013sim119902119887120590lowast
119901sim119902119887 IV]
(11)
Formulae (11) indicate that 119909I and 119909III interfere with eachother as well as 119909II and 119909IV For interference cancellationit is better to set the scaling factor that is either 119908Tx
1199011
or119908
Tx1199013
to zero The setting of zero needs to be determined bythe off boresight angle (OBSA) effect discussed by Liu [8]where boresight refers to the axis vertical to the orientationof the array alignment For example in Figure 4 the solidbeam is generated by the set of branches of TxApB1 whilethe dotted beam is generated by the set of branches ofTxApB3 According to Liu [8] the beamwidth is known andis directly proportional to the OBSA value Therefore 119908Tx
1199013
=
0 (when 120572 lt 120573) or 119908Tx1199011
= 0 (when 120572 gt 120573) can be suggestedto avoid increasing the beamwidth Note that in this paperthe location of the Rx is assumed to be known by the TxAdditionally by using the zero-forcing TxBF we can have twooptions for TxBF weight settings that is (119908
1199011= 0 119908
1199012=
ℎminus1
1199012
1199081199013= ℎminus1
1199013
) or (1199081199013= 0 119908
1199012= ℎminus1
1199012
1199081199011= ℎminus1
1199011
) which isdeterminedmainly based on the location of the Rx Note thatwe did not focus on the TDD system therefore the channelreciprocity is not performed Since we assume the location ofRx is known by the Tx the BF weight used in the paper isinverse of the array propagation factor at Tx side [3]
According to Figure 3 the proposed TPULA system canbe easily extended as the polarized massive MIMO (PM-MIMO) system by employing a large number of AEs whichrequires a large number (tens or hundreds) of antennaeserving at both Tx and Rx Consequently the system designthen should consider the plenty of power consumption andhigh cost of RF chains Antenna selection scheme is necessaryfor PM-MIMOsystem in both transmitting end and receivingendAn energy efficient antenna selection algorithmbased onconvex optimization might be proposed where the numberof transmit antenna and the number of receive antenna needto be jointly optimized to maximize energy efficiency Goodperformance gain of energy efficiency should be obtainedcomparing with no antenna selection case
4 Performance Verification
We verified the proposed scheme via Monte Carlo simula-tions based on the LTE-A specification where Table 1 liststhe details of the parameter settings The downlink datamapping for LTE-A resource blocks used in the simulationsis demonstrated in Figure 5 which is based on the QO-STBC symbol matrix of expression (1) 119875A119901B1 119875A119901B2 and119875A119901B3 denote the pilots used for practical channel estimation
and a total of 24 pilots were used separately for 24 transmitantennae An extension of work by Su et al [9] is appliedto simulations of the polarized MIMO channel for whichchannel characteristics are also listed in Table 1 Note that thelocation of the Rx is updated periodically at each simulationloop
Sincewe have proposed the scheme to combine STBCandBF firstly and could not find any existing combined STBC-BF scheme for the performance comparison according toliteratures we only compared four transmission cases in thispaper to verify our proposal by discussing the achievementof STBC and BF gains Figure 6 shows the simulated BLERcurves including Case 1 of TPULA only (without STBC andBF) Case 2 of TPULA with STBC Case 3 of TPULA withSTBC and TxBF and Case 4 of TPULA with STBC andTRxBF where the target BLER for performance comparisonis fixed at 10minus2 According to Figure 6 Case 1 has the worstperformance because there is no space-time coding and BFgain achieved By applying the receiver studied by Liu et al [7]for interference cancellation almost 1 dB of signal-to-noiseratio (SNR) gain at the target BLER can be achievedwithCase2 under the indoor environment compared with Case 1 Inaddition compared with Case 2 about 23 dB of SNR gainunder the indoor environment at the target BLER is obtainedwith Case 3 when the TxBF is applied Compared with Case3 05 dB SNR gain at the target BLER is achieved by usingthe MMSE RxBF via Case 4 because the amount of error fedinto the STBC decoding process is further decreased Theerror floors occur under the outdoor environment due tohigh mobility at 100 kmh This indicates that the numberof pilots in the TPULA system is not enough to compensatethe channel correctly under an environment with fast time-varying phase response Again the efficiency of our proposedscheme can be quantified in terms of throughput Figure 7illustrates the simulated throughput curves By focusing onthe curves obtained under the indoor environment we canobserve that Case 4 of TPULA with STBC and TRxBF canachieve the highest throughput of 21Mbps at 119864
1198871198730of 0 dB
and 20Mbps 19Mbps and 17Mbps for Case 3 Case 2 andCase 1 at 119864
1198871198730of 0 dB respectively
In addition we evaluate the average BLER performancewhen two mobile users are employed In this case the eightAEs at Tx are divided into two groups where each group iswith four AEs and performs TxBF for a mobile user Figure 8illustrates the simulation results of average BLER for twousers with the transmission Case 4 According to Figure 8we can observe that the performance decreases a lot dueto the loss of diversity order at Tx because multiusers need
6 International Journal of Antennas and Propagation
30
210
60
240
90
270
120
300
150
330
180 0
Z
X
120573
120572
Figure 4 Setting of zero for TxBF weights
Subframe20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
x98x4xlowast1
x102x8xlowast5
x106x12xlowast9
x110x16xlowast13
x114x20xlowast17
x118x24xlowast21
x122x28xlowast25
x126x32xlowast29
x130x36xlowast33
x134x40xlowast37
x138x44xlowast41
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94x48xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
PA1B1
PA2B1
PA3B1
PA4B1
PA5B1
PA6B1
PA7B1
PA8B1
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
(a) Data mapping at TxApB1
20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
Subframe
x1
x5
x9
x13
x17
x21
x25
x29
x33
x37
x41
x45
x3
x7
x11
x15
x19
x23
x27
x31
x35
x39
x43
x47
x49
x53
x57
x61
x65
x69
x73
x77
x81
x85
x89
x93
x51
x55
x59
x63
x67
x71
x75
x79
x83
x87
x91
x95
x97
x101
x105
x109
x113
x117
x121
x125
x129
x133
x137
x141
x99
x103
x107
x111
x115
x119
x123
x127
x131
x135
x139
x143
minusxlowast100
minusxlowast104
minusxlowast108
minusxlowast112
minusxlowast116
minusxlowast120
minusxlowast124
minusxlowast128
minusxlowast132
minusxlowast136
minusxlowast140
minusxlowast144
minusxlowast98
minusxlowast102
minusxlowast106
minusxlowast110
minusxlowast114
minusxlowast118
minusxlowast122
minusxlowast126
minusxlowast130
minusxlowast134
minusxlowast138
minusxlowast142
minusxlowast50
minusxlowast54
minusxlowast58
minusxlowast62
minusxlowast66
minusxlowast70
minusxlowast74
minusxlowast78
minusxlowast82
minusxlowast86
minusxlowast90
minusxlowast94
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast56
minusxlowast52
minusxlowast65
minusxlowast96
minusxlowast2
minusxlowast6
minusxlowast10
minusxlowast14
minusxlowast18
minusxlowast22
minusxlowast26
minusxlowast30
minusxlowast34
minusxlowast38
minusxlowast42
minusxlowast46
minusxlowast4
minusxlowast8
minusxlowast12
minusxlowast16
minusxlowast20
minusxlowast24
minusxlowast28
minusxlowast32
minusxlowast36
minusxlowast40
minusxlowast44
minusxlowast48
PA1B2
PA2B2
PA3B2
PA4B2
PA5B2
PA6B2
PA7B2
PA8B2
(b) Data mapping at TxApB2
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
20 1 3 4 5 6 7 8 9 10 11 12 13Subframe
x98
x102
x106
x110
x114
x118
x122
x126
x130
x134
x138
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94
xlowast1
xlowast5
xlowast9
xlowast13
xlowast17
xlowast21
xlowast25
xlowast29
xlowast33
xlowast37
xlowast41
xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
x4
x8
x12
x16
x20
x24
x28
x32
x36
x40
x44
x48
PA1B3
PA2B3
PA3B3
PA4B3
PA5B3
PA6B3
PA7B3
PA8B3
(c) Data mapping at TxApB3
Figure 5 Downlink data mapping of the LTE-A resource blocks for the TPULA system
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
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The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
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Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
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Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
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Navigation and Observation
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DistributedSensor Networks
International Journal of
6 International Journal of Antennas and Propagation
30
210
60
240
90
270
120
300
150
330
180 0
Z
X
120573
120572
Figure 4 Setting of zero for TxBF weights
Subframe20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
x98x4xlowast1
x102x8xlowast5
x106x12xlowast9
x110x16xlowast13
x114x20xlowast17
x118x24xlowast21
x122x28xlowast25
x126x32xlowast29
x130x36xlowast33
x134x40xlowast37
x138x44xlowast41
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94x48xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
PA1B1
PA2B1
PA3B1
PA4B1
PA5B1
PA6B1
PA7B1
PA8B1
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
(a) Data mapping at TxApB1
20 1 3 4 5 6 7 8 9 10 11 12 13
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
Subframe
x1
x5
x9
x13
x17
x21
x25
x29
x33
x37
x41
x45
x3
x7
x11
x15
x19
x23
x27
x31
x35
x39
x43
x47
x49
x53
x57
x61
x65
x69
x73
x77
x81
x85
x89
x93
x51
x55
x59
x63
x67
x71
x75
x79
x83
x87
x91
x95
x97
x101
x105
x109
x113
x117
x121
x125
x129
x133
x137
x141
x99
x103
x107
x111
x115
x119
x123
x127
x131
x135
x139
x143
minusxlowast100
minusxlowast104
minusxlowast108
minusxlowast112
minusxlowast116
minusxlowast120
minusxlowast124
minusxlowast128
minusxlowast132
minusxlowast136
minusxlowast140
minusxlowast144
minusxlowast98
minusxlowast102
minusxlowast106
minusxlowast110
minusxlowast114
minusxlowast118
minusxlowast122
minusxlowast126
minusxlowast130
minusxlowast134
minusxlowast138
minusxlowast142
minusxlowast50
minusxlowast54
minusxlowast58
minusxlowast62
minusxlowast66
minusxlowast70
minusxlowast74
minusxlowast78
minusxlowast82
minusxlowast86
minusxlowast90
minusxlowast94
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast52
minusxlowast56
minusxlowast56
minusxlowast52
minusxlowast65
minusxlowast96
minusxlowast2
minusxlowast6
minusxlowast10
minusxlowast14
minusxlowast18
minusxlowast22
minusxlowast26
minusxlowast30
minusxlowast34
minusxlowast38
minusxlowast42
minusxlowast46
minusxlowast4
minusxlowast8
minusxlowast12
minusxlowast16
minusxlowast20
minusxlowast24
minusxlowast28
minusxlowast32
minusxlowast36
minusxlowast40
minusxlowast44
minusxlowast48
PA1B2
PA2B2
PA3B2
PA4B2
PA5B2
PA6B2
PA7B2
PA8B2
(b) Data mapping at TxApB2
0
1
11
Reso
urce
blo
ck
10
9
8
7
6
5
4
3
2
20 1 3 4 5 6 7 8 9 10 11 12 13Subframe
x98
x102
x106
x110
x114
x118
x122
x126
x130
x134
x138
x142
x50
x54
x58
x62
x66
x70
x74
x78
x82
x86
x90
x94
xlowast1
xlowast5
xlowast9
xlowast13
xlowast17
xlowast21
xlowast25
xlowast29
xlowast33
xlowast37
xlowast41
xlowast45
xlowast3
xlowast7
xlowast11
xlowast15
xlowast19
xlowast23
xlowast27
xlowast31
xlowast35
xlowast39
xlowast43
xlowast47
xlowast49
xlowast53
xlowast57
xlowast61
xlowast65
xlowast69
xlowast73
xlowast77
xlowast81
xlowast85
xlowast89
xlowast93
x52
x56
x60
x64
x68
x72
x76
x80
x84
x88
x92
x96
xlowast51
xlowast55
xlowast59
xlowast63
xlowast67
xlowast71
xlowast75
xlowast79
xlowast83
xlowast87
xlowast91
xlowast95
xlowast97
xlowast101
xlowast105
xlowast109
xlowast113
xlowast117
xlowast121
xlowast125
xlowast129
xlowast133
xlowast137
xlowast141
x100
x104
x108
x112
x116
x120
x124
x128
x132
x136
x140
x144
xlowast99
xlowast103
xlowast107
xlowast111
xlowast115
xlowast119
xlowast123
xlowast127
xlowast131
xlowast135
xlowast139
xlowast143
x2
x6
x10
x14
x18
x22
x26
x30
x34
x38
x42
x46
x4
x8
x12
x16
x20
x24
x28
x32
x36
x40
x44
x48
PA1B3
PA2B3
PA3B3
PA4B3
PA5B3
PA6B3
PA7B3
PA8B3
(c) Data mapping at TxApB3
Figure 5 Downlink data mapping of the LTE-A resource blocks for the TPULA system
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
RoboticsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Active and Passive Electronic Components
Control Scienceand Engineering
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Submit your manuscripts athttpwwwhindawicom
VLSI Design
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Shock and Vibration
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Civil EngineeringAdvances in
Acoustics and VibrationAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Electrical and Computer Engineering
Journal of
Advances inOptoElectronics
Hindawi Publishing Corporation httpwwwhindawicom
Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Navigation and Observation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
DistributedSensor Networks
International Journal of
International Journal of Antennas and Propagation 7
Table 1 Simulation parameters
System parameter ValueCarrier frequency 18GHzSystem bandwidth 20MHzFFT size 2048Number of data carriers 1200Number of samples in CP 144Subcarrier spacing 15 KHzModulation QPSKChannel coding NoMIMO configuration 8A lowast 3B(Tx) by 2A lowast 3B(Rx)Array spacing Half-wavelengthChannel parameter Value
Number of scatterersIndoor 64
Outdoor 4 clusters with 16scatterers per cluster (64 in total)
Scatterer radius 10m
Rx velocity 3 kmh for indoor100 kmh for outdoor
Fading FlatXPD 58 dBPractical channel estimation Zero-forcing
to separate the total number of AEs and only four AEs arededicated to a mobile user For example there is about 5 dBSNR loss at target BLER in case of employing two userscompared with the single user case Meanwhile Figure 9demonstrates the simulated throughput curves for two userswith the transmission Case 4 where system throughput isincreased a lot when two users are employed From Figure 9we can observe that the single user cases have a higherthroughput than the multiusers cases with a low SNR forexample minus10 dB mainly due to a lower BLER By increasingthe SNR the performance of multiusers gets better than thesingle user casesThis is because the proposed scheme is goodat keeping the system BLER performance When multiusersare employed the system throughput then can be guaranteedto be linearly enhanced with the number of users beingincreased
With the consideration of tradeoff regarding the spec-trum efficiency the blind channel estimation (BCE) [10]which requires no or a minimal number of pilots might bebetter employed in the TPULA system in our future researchBy using BCE not only the system spectrum efficiency can beincreased but also the error floor caused by the high mobilitymight be solved
5 Conclusions and Future Works
This paper proposes a TPULA system associated with STBCand BF techniques to exploit diversity gain under a trans-mission scenario with both low and high correlated linksThe polarized antenna branches are grouped into three setswhich steer three orthogonal beams at theX-Y Z-X and Y-Z
minus10 minus5 0 5 10 15 20 25
BLER
TPULA only outdoorTPULA w STBC outdoorTPULA w STBC and TxBF outdoorTPULA w STBC and TRxBF outdoorTPULA only indoorTPULA w STBC indoorTPULA w STBC and TxBF indoorTPULA w STBC and TRxBF indoor
TargetBLER
100
10minus1
10minus2
EbN0 (dB)
Figure 6 Simulation results of BLER for single user
0minus10 minus5 0 5 10 15
05
1
15
2
25
3
Thro
ughp
ut (b
ps)
times107
EbN0 (dB)
TPULA w STBC and TRxBF indoorTPULA w STBC and TxBF indoorTPULA w STBC indoorTPULA only indoorTPULA w STBC and TRxBF outdoorTPULA w STBC and TxBF outdoorTPULA w STBC outdoorTPULA only outdoor
Figure 7 Simulation results of throughput for single user
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
RoboticsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Active and Passive Electronic Components
Control Scienceand Engineering
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Submit your manuscripts athttpwwwhindawicom
VLSI Design
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Shock and Vibration
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Civil EngineeringAdvances in
Acoustics and VibrationAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Electrical and Computer Engineering
Journal of
Advances inOptoElectronics
Hindawi Publishing Corporation httpwwwhindawicom
Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Navigation and Observation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
DistributedSensor Networks
International Journal of
8 International Journal of Antennas and Propagation
minus10 minus5 0 5 10 15 20 25
BLER
TPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF outdoor single userTPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF indoor single user
100
10minus1
10minus2
EbN0 (dB)
Figure 8 Simulation results of average BLER for two users
minus10 minus5 0 5 10 150
1
2
3
4
5
6
Thro
ughp
ut (b
ps)
TPULA w STBC and TRxBF indoor two usersTPULA w STBC and TRxBF outdoor two usersTPULA w STBC and TRxBF indoor single userTPULA w STBC and TRxBF outdoor single user
times107
EbN0 (dB)
Figure 9 Simulation results of throughput for two users
planes STBC is additionally applied at three orthogonallycolocated branches of each AE to accommodate the space-time diversity gain From the simulation results the proposedscheme in Case 4 (TPULA with SBTC and TRxBF) proveswe can obtain about 4 dB SNR gain at the target BLERcompared with Case 1 (TPULA without STBC and TRxBF)
under the indoor environment Although the performancein an outdoor environment is also increased by the proposedscheme the error-floors occur due to the high Rxmobility Inthis paper we have verified the proposed scheme under theflat fading environment only As a future work the selectivefading environment will be examined and the AE selectionscheme for OFDM-based TPULA system might be proposedto overcome the ISI caused by multipath
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgment
This research was supported by the MSIP (Ministry ofScience ICT and Future Planning) Korea under the ITRC(InformationTechnologyResearchCenter) Support Program(IITP-2015-H8501-15-1019) supervised by the IITP (Institutefor Information amp Communications Technology Promo-tion)
References
[1] M-T Dao V-A Nguyen Y-T Im S-O Park and G Yoonldquo3D polarized channel modeling and performance comparisonof MIMO antenna configurations with different polarizationsrdquoIEEE Transactions on Antennas and Propagation vol 59 no 7pp 2672ndash2682 2011
[2] A S Y Poon and D N C Tse ldquoDegree-of-freedom gain fromusing polarimetric antenna elementsrdquo Institute of Electrical andElectronics Engineers Transactions on Information Theory vol57 no 9 pp 5695ndash5709 2011
[3] X Su and K H Chang ldquoPolarized uniform linear arraysystem beam radiation pattern beamforming diversity orderand channel capacityrdquo International Journal of Antennas andPropagation vol 2015 Article ID 371236 9 pages 2015
[4] J Li U Park and S Y Kim ldquoAn efficient rate one STBCscheme with 3 transmit antennasrdquo in Proceedings of the Interna-tional Conference onWireless Communications Networking andMobile Computing (WiCOM rsquo08) pp 1ndash4 IEEE Dalian ChinaOctober 2008
[5] U Park S Kim K Lim and J Li ldquoA novel QO-STBC schemewith linear decoding for three and four transmit antennasrdquoIEEE Communications Letters vol 12 no 12 pp 868ndash870 2008
[6] V Madisetti Digital Signal Processing Handbook CRC Press2nd edition 1999
[7] L J Liu S Y Kim andM-S Lim ldquoAn efficient selective receiverfor STBC schemerdquo in Proceedings of the IEEE InternationalConference on Communications (ICC rsquo07) pp 4196ndash4200 IEEEGlasgow Scotland June 2007
[8] W Liu ldquoAdaptive wideband beamforming with sensor delay-linesrdquo Signal Processing vol 89 no 5 pp 876ndash882 2009
[9] X Su B Hui and K H Chang ldquo3-D MIMO channel mod-eling with beamforming analysis for dual-polarized antenna
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
RoboticsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Active and Passive Electronic Components
Control Scienceand Engineering
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Submit your manuscripts athttpwwwhindawicom
VLSI Design
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Shock and Vibration
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Civil EngineeringAdvances in
Acoustics and VibrationAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Electrical and Computer Engineering
Journal of
Advances inOptoElectronics
Hindawi Publishing Corporation httpwwwhindawicom
Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Navigation and Observation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
DistributedSensor Networks
International Journal of
International Journal of Antennas and Propagation 9
systemsrdquo in Proceedings of the IEEE 78th Vehicular TechnologyConference (VTC Fall rsquo13) pp 1ndash5 September 2013
[10] E Beres and R Adve ldquoBlind channel estimation for orthogonalSTBC in MISO systemsrdquo IEEE Transactions on Vehicular Tech-nology vol 56 no 4 pp 2042ndash2050 2007
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
RoboticsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Active and Passive Electronic Components
Control Scienceand Engineering
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Submit your manuscripts athttpwwwhindawicom
VLSI Design
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Shock and Vibration
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Civil EngineeringAdvances in
Acoustics and VibrationAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Electrical and Computer Engineering
Journal of
Advances inOptoElectronics
Hindawi Publishing Corporation httpwwwhindawicom
Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Navigation and Observation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
DistributedSensor Networks
International Journal of
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
RoboticsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Active and Passive Electronic Components
Control Scienceand Engineering
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Submit your manuscripts athttpwwwhindawicom
VLSI Design
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Shock and Vibration
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Civil EngineeringAdvances in
Acoustics and VibrationAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Electrical and Computer Engineering
Journal of
Advances inOptoElectronics
Hindawi Publishing Corporation httpwwwhindawicom
Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
SensorsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Modelling amp Simulation in EngineeringHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Chemical EngineeringInternational Journal of Antennas and
Propagation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Navigation and Observation
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
DistributedSensor Networks
International Journal of