Upload
vothuan
View
219
Download
2
Embed Size (px)
Citation preview
LTE Outdoor Small Cell Antenna Considerations
Ray ButlerVice President Engineering
Copyright © 2014 CommScope, Inc. – All rights reserved.
2Copyright © 2014 CommScope, Inc. – All rights reserved.
Its ALL about Capacity!!!
Paul Rasmussen.O2’s Network In Meltdown From Smartphone Usage.FierceWireless Europe 11/18/2009
Did you know that watching a video on a smartphone uses the same capacity on a network as sending 500,000 text messages simultaneously?
3Copyright © 2014 CommScope, Inc. – All rights reserved.
Data Throughput Growth
4Copyright © 2014 CommScope, Inc. – All rights reserved.
Three Ways to Get More Capacity
Moray Rumney.Smart Cells and Wireless Capacity Growth. PowerPoint Presentation for Agilent Technologies in LTE World Summit, Posted Online May 26, 2010: August 20, 2010 http://3g4g.blogspot.com/2010/05/small-cells-and-wireless-capacity.html
10,000
1,000
100
10
0
20 25
2000
Growth factor
SpectralEfficiency
Spectrum Number ofCells/Sectors
Growth has historically
been dominated by the increase in the number of cells/sectors
5Copyright © 2014 CommScope, Inc. – All rights reserved.
eNodeB
Close to the radio users experience better data rates.The challenge is managing interference so users over the entire cell have a Great Experience
Claude Shannon
Shannon’s Law says…
…The capacity of any system is limited by the noise in the system
The highest achievable data rate requires…
• Widest RF bandwidth radios
• Highest performing RF equipment, especially BTS antennas
• Unlimited backhaul network
What Limits LTE?
6Copyright © 2014 CommScope, Inc. – All rights reserved.
Expanding LTE Capacity
Femtocells
ODAS
Metro Cells
Enterprise Cells
IDAS
Interference Management is Paramount!Interference Management is Paramount!
eNodeB
eNodeB
7Copyright © 2014 CommScope, Inc. – All rights reserved.
Quasi-Omni Half-Omni Back-to-Back Single Panel
360 deg. Omni or Sectored Coverage
Mounted on Building Façade with 180 deg.
Coverage
Street or Corridorwith Control over Front and Back Interference
Single Sector Front-facing Coverage
Emerging Metro Cell and ODASAntenna Options
8Copyright © 2014 CommScope, Inc. – All rights reserved.
Two Studies Confirm the Importance of Better RF Path Control
• University of Texas at Austin (UTA) Poisson distribution with 3D modeling in which the need at the time dictates the placement of both eNodeBs and metro cells (random distribution matches nature of population growth and distribution over time)1
– The information presented here was produced in a joint effort between UTA and CommScope
• Commissioned Telecom Technology Services design in which a underlayment of metro cells was inserted into Lower Manhattan and results were simulated using Forsk Atoll® model along with WinPropray tracing
1 White paper discussing Poisson distribution: J. G. Andrews, Senior Member, IEEE, F. Baccelli, and R. K. Ganti, Member, IEEE, “A Tractable Approach to Coverage and Rate in Cellular Networks,” IEEE Transactions on Communications, Vol. 59, No. 11, Nov. 2011
9Copyright © 2014 CommScope, Inc. – All rights reserved.
Main Objectives of UT-A Modeling
• Study 3D beamforming and its impact
• Determine impact of vertical directivity
• Determine impact of vertical antenna pattern, & tilt
Horizon
main beam
8°
42.69
6
Horizon
main beam
16°
20.92
6
10Copyright © 2014 CommScope, Inc. – All rights reserved.
Comparison of Methodologies
• Traditional Grid Model– BSs are not random, have hexagon
layout – BSs Density (BS Area, R, is cell radius):
– UE is located randomly in the network
• Poisson Point Processes (PPP )– BSs are random and modeled as PPP– BSs Density: λ BS/Area– UE is located at the origin point
22 9 3Rλ =
11Copyright © 2014 CommScope, Inc. – All rights reserved.
Poisson Point Distribution and Methodology Comparison
• Performance of fixed grid model is an upper bound• Performance of PPP model is a lower bound• Performance of fixed grid model is an upper bound• Performance of PPP model is a lower bound
12Copyright © 2014 CommScope, Inc. – All rights reserved.
Poisson Point Process Background and Improvement
• White Paper discussing PPP:– J. G. Andrews, Senior Member, IEEE, F. Baccelli, and R. K. Ganti,
Member, IEEE, “A Tractable Approach to Coverage and Rate in Cellular Networks,” IEEE Transactions on Communications, Vol. 59, No. 11, Nov. 2011
• University of Texas has developed their own propagation tool based on PPP in which a three dimensional topography is accounted for
– Incorporation of buildings of various heights as well as 3D RF patterns more closely simulates real world performance
• Result characterize the “lower bound” of predictions, or is “pessimistic”
13Copyright © 2014 CommScope, Inc. – All rights reserved.
The Combined UT-A/CommScopeNetwork Model
• Contains macro-cell BS and small-cell BS
• Base stations are modeled as PPP
• User located at the origin point
main beam
macro-cell BS
small-cell BS
�
14Copyright © 2014 CommScope, Inc. – All rights reserved.
Channel Model
( )( ) ( ) ( )dBi
,
, +
w
h v m
h SG Lh
G G G G
ϕ θ
ϕ θ ϕ θ
=
= +
Parameter Variables
Shadow fading parameter
Number of buildings across the direct path between transmitter and receiver K
Attenuation coefficient for each building, γ<1 γ
Normalized horizontal antenna gain Gh(�)
Normalized vertical antenna gain Gv(θ)
Maximum antenna gain Gm
Path loss L
Small-scale fading coefficient; Rayleigh fading hw
KS γ=
15Copyright © 2014 CommScope, Inc. – All rights reserved.
Macro Cell Antenna ModelHorizontal Gain
( )2
min 12 ,h hh
G FB
ϕϕ = −
Horizontal angle relative the main beam
Horizontal half power beam-width
Front back ratio
A sectored antenna with 65 degree horizontal HPBW and 25dB FBR
A sectored antenna with 65 degree horizontal HPBW and 25dB FBR
90
-20 dB
-10 dB
0 dB
30
210
60
240
270
120
300
150
330
180 0
Bh= 65, Fh=25dB
16Copyright © 2014 CommScope, Inc. – All rights reserved.
Macro Cell Antenna ModelVertical Gain
( )2
max 12 ,tiltv v
v
G FB
θ θθ − = −
HorizonOut-of-cell interference
main beam
�tilt�
Parameter Variables
Negative elevation angle relative to horizontal plane θ
Main beam down tilt angle θtilt
Vertical half-power beamwidth Bv
Side lobe level relative the max gain of main beam Fv
-15 dB
-10 dB
-5 dB
0 dB
-30
30
-60
60
-90
90
-60
60
-30
30
0 0
Bv= 7, Fv=18dB, θtilt=10
17Copyright © 2014 CommScope, Inc. – All rights reserved.
The Impact of Multiple Element Antennas at 1900MHz
-3db (HPBWv)
78º
-3db (HPBWv)
39º
• 1 element dipole• 2.15 dBi gain• 78º HPBWv
• 2 element dipole• 3 dBi gain• 39º HPBWv
• 4 element dipole• 6 dBi gain• 19.5º HPBWv
• Half power point moves out as vertical beamwidth is narrowed
• Increased reach yields increased interference
• Down tilt is used to control reach and interference
• Antenna height must be doubled at 700MHz due to wavelength to achieve same HPBWv
-3db (HPBWv)
19.5º
about 24” high
18Copyright © 2014 CommScope, Inc. – All rights reserved.
Small Cell Antenna ModelDipole Antennas
( ) ( )( ) ( )( ) ( )
2.7578 10
11.7339 10
47.6419.5 10
10log cos
10log cos
10log cos
v
v
v
v B tilt
v B tilt
v B tilt
G
G
G
θ θ θ
θ θ θ
θ θ θ
= °
= °
= °
= −
= −
= −( ) 0 dBhG ϕ =
• Length: 25 in. (635 mm)• Outer Diameter: 1.5 in. (38.1 mm)• Net Weight : 4 lb. (1.8 kg)• 20-25 deg. HPBWv
Theoretical Stacked Dipole Antennas of Varying Tilt
Theoretical Stacked Dipole Antennas of Varying Tilt
A Common Omni-Directional Antenna in Use Today
A Common Omni-Directional Antenna in Use Today
-30 dB
-20 dB
-10 dB
0 dB
-30
30
-60
60
-90
90
-60
60
-30
30
0 0
Bv= 78 deg.Bv= 39 deg.Bv= 19.5 deg.
θtilt= 8 deg. θtilt= 0 deg.
ASPP-2933E
19Copyright © 2014 CommScope, Inc. – All rights reserved.
Quasi-Omni Antenna ModelHorizontal Pattern
• Connects 3 sectored antennas to create one "quasi" omniantenna
( ) ( ) ( ) ( )( )
( )
10 1 1 2 1 3 1
2dBi
10log + +
min 12 ,
h
ii i h
h
G G G G
G FB
ϕ ϕ ϕ ϕ
ϕϕ
=
= −
Horizontal pattern of actual antennas(red and blue lines denote the +/- slants of the dual pol antenna)
Horizontal pattern of actual antennas(red and blue lines denote the +/- slants of the dual pol antenna)
-30 dB
-20 dB
-10 dB
0 dB
30
210
60
240
90
270
120
300
150
330
180 0
quasi omni
20Copyright © 2014 CommScope, Inc. – All rights reserved.
Quasi-Omni Antenna ModelVertical Patterns Assumed
( )2
max 12 ,tiltv v
v
G FB
θ θθ − = −
-15 dB
-10 dB
-5 dB
0 dB
-30
30
-60
60
-90
90
-60
60
-30
30
0 0
Bv= 14, Fv=16dB, θtilt=8
-15 dB
-10 dB
-5 dB
0 dB
-30
30
-60
60
-90
90
-60
60
-30
30
0 0
Bv= 14, Fv=16dB, θtilt=16
21Copyright © 2014 CommScope, Inc. – All rights reserved.
Path Loss Model
• Urban Macro to UE
• Outdoor Pico to UE
• R – BS-UE separation in kilometers
• Carrier frequency is 2GHz
( ) ( )dB10128.1 37.6 logL R R= +
( ) ( )dB10140.7 36.7 logL R R= +
22Copyright © 2014 CommScope, Inc. – All rights reserved.
UT PPP Simulation Settings (1/2)
Parameter Value
Power of macro cell BS 20 W
Macro cell BS density 2.05/km2
Height of macro cell BS 30 m
HPBWh of macro cell 65°
FBRh of macro cell 25 dB
Downtilt of macro cell 10°
HPBWv of macro cell 7°
SLLv of macro cell 18 dB
Gm of macro cell BS 18 dBi
Parameter Value
Power of small cell BS 2 W
Height of small cell BS 6 m
Gm of dipole small cell antenna with 78°HPBW
2.15 dBi
Gm of dipole small cell antenna with 39°HPBW
5.15 dBi
Gm of dipole small cell antenna with 19.5°HPBW
8.15 dBi
Gm of Real 2-elements dipole small cell antenna
5.15 dBi
Gm of quasi omni small cell antenna
10.2 dBi
23Copyright © 2014 CommScope, Inc. – All rights reserved.
UT PPP Simulation Settings (2/2)
Parameter Value
HPBWv of quasi omni small cell antenna 14°
SLLv of quasi omni small cell antenna 16 dB
Downtilt of small cell 8°and 16°
Attenuation coefficient γ -40 dB
Building density to macro-cell BS density ratio ρ 15
Average building height 15 m
Average building length 25 m
24Copyright © 2014 CommScope, Inc. – All rights reserved.
Simulation Results20W Macro / 2W Metro
Quasi-Omni Offers 8-40%
Improvement in Average Spectral
Efficiency over Typical Omni-
Directional Antenna
Quasi-Omni Offers 8-40%
Improvement in Average Spectral
Efficiency over Typical Omni-
Directional Antenna
25Copyright © 2014 CommScope, Inc. – All rights reserved.
Simulation Results60W Macro / 5W Metro
Little Appreciable ASE Difference Between High and Low Wattage Scenarios,
BUT, the Site Count Will Vary Significantly!
Little Appreciable ASE Difference Between High and Low Wattage Scenarios,
BUT, the Site Count Will Vary Significantly!
26Copyright © 2014 CommScope, Inc. – All rights reserved.
Atoll-Based Modeling
• CommScope commissioned study based on Telecom Technology Services design in which an underlayment of metro cells was inserted into Lower Manhattan and results simulated using Atoll
– 1.5 km in dense city area
– 1W and 5W metro cells
– Hot spot / Hot zone through more robust build out
– Bands of 700, 1900, 2600
– Tilt from zero to 16 degrees
– Various antenna patterns as well as antenna gain
– Design objective driven by RSRP or user throughput
27Copyright © 2014 CommScope, Inc. – All rights reserved.
Coverage and Key Performance Metrics
Use of 5W reduces site count ~30% (10 sites ~ $250, 000!)Use of Quasi-Omni reduces site count another ~25-30 %!
Use of Quasi-Omni improves average user DL throughp ut 23-40%
Use of 5W reduces site count ~30% (10 sites ~ $250, 000!)Use of Quasi-Omni reduces site count another ~25-30 %!
Use of Quasi-Omni improves average user DL throughp ut 23-40%
28Copyright © 2014 CommScope, Inc. – All rights reserved.
Summary
• Improved University of Texas model using Poisson distribution with 3D calculations and Atoll both confirm improvements of antenna tilt
• Impact of vertical beamwidth– Without down tilt, average spectral efficiency decreases as the vertical
beamwidth of small cell antenna decreases (beam reaches deeper into network, lowering SINR)
• Impact of antenna down tilt– Average spectral efficiency is improved approx. 40%– User throughput is improved 24-40%– Site count is reduced 25-30%
Control over Vertical Beamwidth and Down Tilt Matters!Control over Vertical Beamwidth and Down Tilt Matters!
29Copyright © 2014 CommScope, Inc. – All rights reserved.
Proposed Field Trial
• Commscope proposes a field trial to quantify benefits of antenna pattern improvements
– Horizontal and vertical patterns, including effects of tilt
• Trial could utilize macro-sites– Better availability and performance history than metro-sites
• Looking for an isolated cluster with 10 – 15 sites
• Trial duration would be ~8 weeks
• Specifics of trial on the following slides
30Copyright © 2014 CommScope, Inc. – All rights reserved.
Field TrialAzimuth Beam Parameters
• The angular span between the half-power (-3 dB) points measured on the cut of the antenna’s main lobe radiation pattern
• Actual beamwidths >65 deg. can be problematic to network performance
• Trend is to narrower beamwidths.
• The angular span between the half-power (-3 dB) points measured on the cut of the antenna’s main lobe radiation pattern
• Actual beamwidths >65 deg. can be problematic to network performance
• Trend is to narrower beamwidths.
• Smaller SPR indicates a higher performing antenna.
• It is a measure of how much energy is radiated outside of the sector.
• SPR is analytically determined from measured antenna range pattern data.
• Andrew recommends less than 2%
• Smaller SPR indicates a higher performing antenna.
• It is a measure of how much energy is radiated outside of the sector.
• SPR is analytically determined from measured antenna range pattern data.
• Andrew recommends less than 2%
Sector Power Ratio
31Copyright © 2014 CommScope, Inc. – All rights reserved.
Field TrialElevation Beam Parameters
• The trial would demonstrate the benefits of elevati on beamwidth and tilt • Also demonstrated would be the effects of mechanica l tilt on azimuth
beamwidth
• The trial would demonstrate the benefits of elevati on beamwidth and tilt • Also demonstrated would be the effects of mechanica l tilt on azimuth
beamwidth
With mechanical tilt of 8 degrees, antenna blooms to 93 degrees from no tilt beamwidth of 65 degrees
32Copyright © 2014 CommScope, Inc. – All rights reserved.
Trial –High Level Methodology
• Two week baseline period– Network based KPI’s baselined– UE based data performance
• Replace antennas– Optimize tilts, parameters
• Repeat two week test– Network and UE based
• Compile date, create report and conclusions
Thank you!
34Copyright © 2014 CommScope, Inc. – All rights reserved.
NH360QS-DG-F0M Measured Elevation Patterns
Overlay HB Elevation Patterns, T0, T8, T161710 MHz, 1940 MHz, and 2170 MHz
LB Elevation Patterns T0 698 MHz, 790 MHz, and 896 MHz
35Copyright © 2014 CommScope, Inc. – All rights reserved.
NH360QS-DG-F0M Measured Elevation Patterns
Overlay Measured HB Elevation Patterns, T0, T8, T161710 MHz, 1940 MHz, and 2170 MHz
T0GL -10 dB, +75º
Hor. Suppress 0 dB
T8GL -6 dB, +65º
Hor. Suppress 3 dB
T16GL -6 dB, +55°
Hor. Suppress 12 dB
36Copyright © 2014 CommScope, Inc. – All rights reserved.
NH65QS-DG-F0M Elevation Patterns
1710 MHzT0, T8, T16, T24, T32 T40
2170 MHzT0, T8, T16, T24, T32
• 5 Elements, 25” Antenna Length
• Overlay HB Elevation Patterns in Increments of 8°
• 2170 MHz: Grating lobes increases from 20 dB at tilt 0 to 0 dB (same level as main beam) for 32º Tilt. Suppression minimum at 13°tilt, T>13º su ppression determined by upper SLL levels.
• 1710 MHz: Grating lobes increases to 0 dB (same level as main beam) for 40º Tilt. Suppression minimum at 17°tilt, T>17°suppression determined by upper SLL levels
Grating Lobe T16Grating Lobe T16
37Copyright © 2014 CommScope, Inc. – All rights reserved.
NH65QS-DG-F0M Elevation Patterns – N5 vs N10
N=5 2170 MHzT0, T8, T16, T24, T32
• 5 Elements, 25” Antenna Length vs 10 Elements, 50” Antenna Length
• Main beam and GL are narrower for longer array, but at basically same levels and angles for longer array. Assume element pattern vertical BW 75º in simulation.
• Assume 1:N phase shifter for both (1:5 PS for 10 element has quantization lobes ignored here).
N=10 2170 MHzT0, T8, T16, T24, T32
38Copyright © 2014 CommScope, Inc. – All rights reserved.
The Impact of Down Tilt on Throughput and Site Count
Quasi-Omni with 12 deg. down tilt and 19.5 deg. HPV Wv
Typical Omni-directional with 0 deg. down tilt and 50 deg. HPVW v
eNodeB (baseline) with 40W and 10 deg. down tilt
2x5W LTE
1900MHz
2x5W LTE
1900MHz
Improved SINR Provides~25% Improvement in Average
Network Downlink Throughput
Improved RF Path Reduces Metro Cell Site Count ~25%
Avg. DL Rate (Mbps)
Site Count*
Omni 1.690 107
Quasi-Omni
2.090 77
* Based on on-street coverage of -95dBm RSRP
39Copyright © 2014 CommScope, Inc. – All rights reserved.
Another Option for Interference Control – eICIC and ABS
Metro Cells
Metro Cells
eNodeB
eNodeB
• Requires a compatible X2 interface between eNodeBs and metro cells (and among metro cells if in a contiguous application)
Metro Cells
Metro Cells
X2 Interface
eNodeB
Metro Cell
Almost Blank Sub-Frames
40Copyright © 2014 CommScope, Inc. – All rights reserved.
The Impact of eICIC Based on TTS Analysis
• Impact is only seen when there is pronounced cell overlap (raising noise floor)
Average Spectral Efficiency
Scenario Regular Omni Quasi 8 deg. Quasi 12 deg.
Without eICIC 144.0 157.3 169.2
With eICIC 145.2 157.7 172.0
Downlink Throughput - Mbps
Scenario Regular Omni Quasi 8 deg. Quasi 12 deg.
Without eICIC 1,040 1,136 1,222
With eICIC 1,048 1,139 1,242
1900MHz Quasi 12 deg. Down Tilt with Pronounced Coverage Overlap
Scenario DL Throughput (kbps) ASE
Without eICIC 525.29 72.75485
With eICIC 589.56 81.65651