View
6
Download
0
Category
Preview:
Citation preview
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
LTE服務透過授權來分享接取頻譜之促成技術與運作模式研究 (1/3)
Enabling Technologies and Operation Models for Licensed Shared Access by LTE Services (1/3)
張時中、蔡志宏、魏學文、林風
周俊廷、林守德
王奕翔、林丁丙、蘇炫榮
06/11/2015
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University Spectrum Shared Access
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
O1) to investigate DSS operation models, analyze sharing strategies of spectrum and radio access network, and develop decision tools for LSA by LTE services;
O2) to develop advanced spectrum sensing techniques and dynamically update spectrum map as an informational cornerstone of efficient control and management of next-generation sharing-based spectrum access;
O3) to design enabling dynamic spectrum sensing-based transmission and access technologies for LSA by LTE services; and
O4) to implement and test the technologies and designs above by exploiting self-developed USRP platform, and LTE small cell and EPC experiment platforms developed by III and/or ITRI.
Objectives (3 Years)
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Main Project: Enabling Technologies and Operation Models for Licensed Shared Access by LTE Services
Project and Team Organization
Subproject 1 : Operation Model Analysis and Mechanism Design for
Licensed Shared Access
1-1 : Operation Modeling and Incentive Mechanism Design for LSA(張時中)
1-2 : Business model and Operation Design for the LSA Repository(蔡志宏)
1-3: Evaluation of Co-RAN Technology for LSA networks (魏學文)
1-4: Multi-Strategy Dynamic Spectrum Access in Cognitive Radio Networks (林風)
Subproject 2: Integrated Spectrum Sensing and
Identification of White Space for Spectrum Sensing
2-1: Sensing and Identification of White Space for Spectrum Sensing (周俊廷)
2-2: Crowd Sourcing for Augmented Spectrum Map (林守德)
Subproject 3:Dynamic Spectrum Sensing-based Transmission and
Access Technologies for Licensed Shared Access
3-1 Sensing Delay and Inaccuracy Resilient Spectrum Sharing (王奕翔)
3.2 Transmission Technology of Generalized Frequency Division Multiplexing (GFDM) and Carrier Aggregation for LSA(林丁丙)
3.3. Flexible and Autonomous Spectrum Sharing (蘇炫榮)
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Year 1 Deliverable: Baseline Design and Implementation of Cornerstone Modules in Dynamic Sensing Observatory, Multiple-leveled Spectrum Repository and Auction-based Spectrum Assignment for LSA
GLDBNTU
ObservatorySpectrum RepositoryIncumbents
http
USRP@2.3-2.4GHz
CSI-2
LSA Auction Database
http
LSA Auction Platform
LSA Licensees
Control GUI
(ID, Demand_region, Demand_unit)
Apache-based Auction Server
Client-Server Protocol
Server Application Programming Interface
(SAPI)
SAPI
(ID, Supply_region, Supply_unit) SAPI
LSA Licensees
LSA Controllers
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Progress Report: Main ProjectLTE服務透過授權來分享接取頻譜之促成技
術與運作模式研究 (1/3)Enabling Technologies and Operation Models for Licensed Shared Access by LTE Services
(1/3)
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Projects and Experiment/ Demo. Platform: Setup Planned & Initiated
Subproject 2: Integrated Spectrum Sensing and Identification of White Space for Spectrum Sensing
Subproject 1: Operation Model Analysis and Mechanism Design for LSA
Spectrum Repository
Business Model (BM)
Resource Allocation
802.11 af;802.22;
802.15; LTE
Sensi
ngTX1 TX2
OSI Layer ArchitectureResearch
USRP
OA&M DBM
CSI-3
CSI-1
CSI-2
Application based SU spectrum sharing
Sensing
Sensing
Incumbent User
LTE
Cloud-based Inference
Subproject 3: Dynamic Spectrum Sensing-based Transmission and Access Technologies for LSA
Interference Risk Model; LSA platform
GFDM & CA for LSA
Inaccuracy resilient; Flexible & autonomous
spectrum sharing
Geo-location database
(Slovenia EU CREW Project)
CrowdSourcing
Observatory
…
Incumbent Provides
Owned by an operator
HTTPController
HTTP
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
• Room 550, EE-2 Bldg., NTU as common Lab space for the project
• Purchased 6 USRPs and Servers to setup experiment platform
Project Lab Setup
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Adoption of LTE Small Cell + EPC in Experiment/Demo Platform in Year 2
Year 1 collaboration efforts on- API
- Design specifications for use of LTE small cells under LSA mode
- USRP developments
- Experiment scenario design and tests
3 Graduate students work 2 days/week at SNSI, III since 04/’15- Spectrum observatory scheme: 1 MS graduate student
- USRP/USRP-RIO SDR platform: 2 MS graduate students
Joint appointment of 1 faculty member(s) as research fellow: 1 day/week
Collaboration with SNSI, III
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
DSA-PG.TW Pilot Trials over 4x6 MHz in 6oo-698 MHz UHF bands
Assessments of LSA/High Priority Channels over UHF Bands
Collaboration via DSA-PG.TW
國立臺灣大學電信研究中心Communication Research Center
National Taiwan UniversityEfforts on International Collaboration
Goal: Research Exchange and Collaborations on Dynamic Spectrum Sharing (DSS)
• 5/11/’15 Center for Telecommunications Research King’s College, London, Great Britan
• Hosts: Dr. Oliver Holland, Prof. Hamid Aghvani, Dr. Adnan Aijaz
• NTU Visitors: Profs. I-Hsiang Wang, Hsuan-Jung Su, Shi-Chung Chang
• Special Topics: TVWS Backhaul, DSA Standards and 5G research
• 5/11/’15 Poznan Technical University, Poznan, Poland
• Hosts: Prof. Hanna Bogucka, Adrian Kliks, Paweł Kryszkiewicz, Krzysztof Cichoń
• NTU Visitors: Profs. Chun-Ting Chou and Phone Lin
• Special Topics: DSS for Next Generation Mobile Network
• 5/13/’15 CORE++ and 5GTN Research Teams, VTT, Oulu, Finland
• VTT/Radio Systems Dr. Marja Mattinmiko, Atso Hekkala, Miia Mustonen
Nokia Networks: Seppo Yrjölä, Kari Horneman
CWC, Oulu University: Harri Posti
Centria R&D (University): Marjo Heikkila
• NTU Visitors: Profs. Chun-Ting Chou, Phone Lin, I-Hsiang Wang, Hsuan-Jung Su, and Shi-Chung Chang
• Special Topics: CORE++ (LSA Trials) and 5G Test Networks
• 6/12/’15 Ericsson R&D, Kista, Sweden
• Hosts: Mikael Halen, Ralph Lofdahl, Magnus Frodigh, Anders Backerholm Mikael Prytz, Kenneth Wallstedt, Jane Svensson
• TW Visitors: Profs. Zsehong Tsai, Chun-Ting Chou, Phone Lin, Hung-Yu Wei, Shi-Chung Chang and Calvin Chang
• Special Topics: DSS User experiences, management and policy
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Progress Report: Subproject 1 Operation Model Analysis and Mechanism
Design for Licensed Shared Access
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Survey of LSA Business Model in US and EU [1]
Frequency Band
Incumbent TypeIncumbent Application
Characteristics
Regulatory Involvement
Potential LSA Licensee Benefits
US
EU
3.5 GHz
2.3 GHz
Defense(naval, ground radar)
Defense(unmanned aerial
vehicle)
Dynamic by Time and Geography
Dynamic by Time and Geography
High(Regulator-
imposed DB)
Low
Priority 1: Increase CapacityPriority 2: Increase Roaming
Priority 1: Increase RoamingPriority 2: Increase Capacity
Motivation of Key Sharing Parties [1]
• Regulator: Meet spectrum needs, healthier industry• Incumbent: Compensation for providing access • LSA licensee: Additional spectrum to meet future demands• End user: Improved experience at attractive price
Operation Modeling and Incentive Mechanism Design for LSA
[1] Deloitte, “The Impact of Licensed Shared Use of Spectrum,” Report for the GSM Association, 23 January 2014.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Economic Benefits of LSA
• Case 1: Compared with no LSA, 2 LSA bands (20 MHz of 380 MHz; 40 MHz of 2.3 GHz) save 1.5€bn to achieve same 100% service coverage [2]
• Case 2: Reduction of deployment cost while adopting LSA [3]
• Case 3: Comparison between ESA and LSA [1][4]
LSA achieves considerable economic benefits without needs of clearing and reallocation that costs high
Country \Spectrum Policy
Exclusive Spectrum Access (ESA) Licensed Shared Access (LSA)
US US $260 billion (€192 billion) US $210 billion (€155 billion)
EU €86 billion (US $116 billion) €70 billion (US $95 billion)
Market Type \ Demand (Mbps/km2) 50 100 150
Young Market (e.g., Chile) 12.5% 35% 40%
Mature Market (e.g., Netherland) 55% 60% 60%
[2] Authorised Shared Access - An evolutionary spectrum authorisation scheme for sustainable economic growth and consumer benefit, Presentation at the WG FM, May 2011.[3] Gerardo Daniel Aguirre Quiroz, Ashraf Awadelkarim Widaa Ahmed, and Jan Markendahl, “Can Licensed Shared Access bring benefits to Developing Countries? A comparison of the potential benefits of LSA in Europe and Latin America,” 7th Annual CMI Conference, Copenhagen, Denmark, November 2014.[4] Phillipa Marks, Tony Lavender, Paul Hansell, and Tim Miller, “Spectrum Sharing: Something Old, Something New,” Plum Insight White Paper, February 2015.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Implementation of LSA-based Auction System (Resource Allocation)
LSA Licensees
GLDB
NTU Observatory
Spectrum Repository
Incumbents
LSA Controllers
http
USRP
CSI-2
LSA Auction Database
Online LSA-based Auction System
http
LSA Auction Platform
LSA Licensees Control GUI
(ID, Demand_region, Demand_unit)
Apache-based Auction Server
Client-Server Protocol
Auction algorithm implemented by PHP
Server Application Programming Interface
(SAPI)
SAPI
(ID, Supply_region, Supply_unit)
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
User Interface (UI) of LSA-based Auction System
Main Page of Auction System
Auction Setting Page
LSA Licensee Bid Submission Page
Auction Result Page
Incumbent Inspection Page
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Spectrum Coverage Repository Architecture Design
CoverageContourRepository
DetailedLSARepository
Regulator Manager
DetailedLSARepository Manager
ContourRepository Manager
Operator BController
Operator AController
Operator BControllerManager
Operator AControllerManager
IncumbentManager
Based on this Coverage Repository Architecture, an object model for the repository (database) is also completed.
Business model and Operation Design for the LSA Repository
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Pixel based Vertex based Partition Algorithm Number of Stored Points 55 14.8 7.9Compare to Pixel based 100% 27% 14%
Compare to Vertex based 100% 53%
• The partition algorithm can partition arbitrary coverage polygons into minimum number of rectangles, and then store the upper left and lower right point of these rectangles.
• Compared with other methods using NTU Campus WiFi coverage, its storage complexity is only 53% of the Vertex-based approach, and 14% of the Pixel-based approach.
The Partition Algorithm for transforming coverage map into Minimum Number of Rectangles
Table A Comparison of the average storage statistics with three methods.
Pic 1 Pixel based : 40 points Pic 3 Algorithm : 12 pointsPic 2 Vertex based : 18 points
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University The Coverage Database Demo System
(0,40)
(0,30)
Available functions include:- Adding contour - Check overlapped region- Deleting contour - Check partitioned region
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
1. Complete a security-enhanced spectrum repository demo system:
• Provide correct query results about radio coverage without revealing real locations of radio stations.
• Include an algorithm of transforming detailed coverage information into blurred information
2. Complete spectrum repository access protocol and control
• Complete a shared-spectrum repository access protocol and define data exchange format between Detailed LSA Repository (with real locations ) and Contour Coverage Repository (with blurred locations ).
• Develop rules for tracking access behavior and enforce access frequency control
Future Work
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Evaluation of Co-RAN Technology for LSA Networks
Scenario• Pico cells : Ask network management for more spectrum• Controller: Check Spectrum repository & Allocate channels• Case:Coverage of licensed band requested is larger than pico
cell’s original transmission range• Goal
- To offload the traffic and guarantee QoS to the handover users
- To provide a fair resource allocation algorithm between cell-edge and cell-center users in pico cell eNodeB
New licensed band coverage
Licensed band coverage
Pico cell
Offload traffic to pico cell Handover a. Admission control
b. RB allocation
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Evaluation of Co-RAN Technology for LSA Networks
• Admission control (AC) for RAN sharing pico cells inLSA network• To Guarantee QoS
• Decided by available resource blocks ,both one’s own licensed band and shared band from repository
• Added QoS constraint to formulate the decision rule of AC
• Modified RSRP-based AC into QoS-based AC and is coding in Matlab
Request handover
AdmissionControl
Proposed MAC
scheduler
User 1
User 2
User k…
Admitted connections
RB allocation
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Evaluation of Co-RAN Technology for LSA Networks
Licensed band A
Requested licensed band B
New licensed band coverage B
Licensed band coverage A
… …Reserved part for UE outside the coverage
of licensed band A
RBs used by UE in coverage of licensed
band A
• MAC scheduler design• To provide proportional fairness between users while guaranteeing QoS• Designed based on the concept proportional fair scheduler
• Reserve spectrum resource to UE in the shared band coverage
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University Task for Year 2
• Build a HetNet scenario in NS-3 to simulate: • Total throughput of the network
• Fairness between users
• Delay
• Compare the proposed method to the existing scheduling algorithm such as: • Round Robin Scheduler
• Proportional Fair Scheduler
• Maximum Throughput Scheduler
• The proposed scheduler would guarantee QoS to different type of services while maximizing the total throughput of the HetNet.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
/ 6 26
System Model
PrimaryBase Station
Secondary Base Station
Secondary User
Primary User
Multi-Strategy Dynamic Spectrum Access in Cognitive Radio Networks
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Subscriber Station (SS)
27 / 6
Non-Real Time Applications
Base Station (BS)
• Wireless Channel– Path Loss
– Shadowing Effect
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
3GPP Traffic Model of UTRAN
28/ 6
A Packet Call
A Session
Main Object Embedded Objects
Reading Time
t
rD
A Packet Call
Main Object Embedded Objects
[1] 3GPP TR 25.892. Feasibility Study for Orthogonal Frequency Division Multiplexing (OFDM) for UTRAN enhancement.
A Packet Call
A Session
Reading Time
t
A Packet Call A Packet Call
t0
Video Streaming Session
Buffer Window
Packet Coding Delay
BT
cD
T 1K T KT2T
rD
• HTTP
• FTP
• NRTV
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
/ 6 29
Electromagnetic Spectrum
GSM/HSPA 4G TV WLAN Military
???
Dynamic Spectrum Access User
Spectrum InefficiencySpectrum Efficiency
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
/ 6 30
Motivation
f
= Busy Channel
Traffic Data
E T
• 根據當時的頻譜狀態,建議用戶適合的應用類形。
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
/ 8 31
Start
,
Initial 0,
Se
0
t 0n i
i n
C
, , 1,
,0 ,
Set , 0
Tx i Tx i
Tx Tx ini
n
tal
iT T i
T T
1E
2ESensing the channel
Channel idle ?Yes
, , 1 1n i n iC C
, , 1 1n i n iC C
, n iSINR
, n iSINR
Data transmission
No
Yes
No Stop transmission
Waiting waitT
, >0 ? <0?n iC
> 0
< 0
Yes
, -1Ignore data in Tx iT
, mod 0n iC K
, mod 0n iC K
Yes
, 1, n i n i
No
Yes
1 x, ma max , in i K
1 n, mi max / , in i K
Adjustment Scheme
,
,
: Counter
: Transmission period
: Waiting peri
: Time slot index
: Packet call inde
d
x
o
n i
Tx i
wait
T
T
i
C
n
No
,
max
min
,
: Iteration limit
: Adjustment coefficent of Tx period
: Adjustment coefficent upper bound
: Adjustment coefficent lower bound
: Threshold value of SINR
n i
n i
K
No
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Demo Tools
/ 6 32
Data Rate (byte/sec)
Service
Response
Time
(sec)
OK Cancel
Applciation:
Real Time:
Parameter:
• Matlab GUI
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Future work
1. Consider the multiple secondary systems, multiple channel accessesfor cross layer resource allocation scheme.
2. Use the LTE transmissions (OFDMA and SC-FDMA) in downlinks anduplinks.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Progress Report: Subproject 2Integrated Spectrum Sensing and
Identification of White Space for Spectrum Sensing
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Database with 24-7 update from our wideband spectrum observatory and narrow-band crowd-sourcing sensing (feature detection) devices
Seamless transmission among secondary devices (USRP-based programmable radio platform across multi-bands
Sense channel 10ms every 500ms Data transmission 490ms every 500ms
Update every 10 seconds
An End-to-End Spectrum-Sharing System
Sensing and Identification of White Space for Spectrum Sensing
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
N0
Yes
Start
Sense channel
&update the
channel status
(10ms)
PU present?
Request database for an available
channel
Switch channel
Data
transmission
period(490ms)
10ms0ms 500ms
PU : Primary user
Sense channel
data transmission
N0Yes
Start
Beacon from TX
Datareceiving
Send a request
to database for
finding TX
Transmitter Receiver
• SUs communicate with OA&M controller using URLs (http://140.112.175.176:6730/query_data.php)
• To report channel sensing results• Sensing is completed in 10 ms while each update is
completed in 45ms (e2e delay)
• To maintain seamless transmission with peer secondary devices
• A round-trip request-and-response delay is 85ms.
• Why URL?
• Secondary users can adopt any radio/hardware/software platforms
• End-to-end Reliability and security
Platform-Independent Operation
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Spectrum Observatory
Spectrum sensing range 300MHz to 3GHz
Gain of antenna 20 dB
Resolution 10kHz
Period of one scanning cycle 3 minutesOver-the-air Feature Detection
Range of scanning frequency500MHz to 700MHz
2300 MHz to 2400MHzdetection time 10 ms
Data TransmissionTransmission Bandwidth 1 MHz
Sample rate 640 spsData rate Up to 2 Mbps (PHY)
Specification of the System
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
• Sensing results contains errors due to noise, multipath channel fading, shadowing effect, etc.
• Current Working Items
• Apply cooperative spectrum sensing (CSS) to improve detecting accuracy by “fusing” the results from multiple sensing devices• Two types of cooperative spectrum sensing : Centralized and
Distributed
• Potential fusion rules : AND, OR, Majority, or NeymanPearson
• Reconstruct the geographic spectrum map to enhance the spatial resolution
Work in Progress (for Database)
Centralized CSS
Distributed CSS
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Progress Report: Subproject 3 Dynamic Spectrum Sensing-based
Transmission and Access Technologies for Licensed Shared Access
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Sensing-Delay Resilient Spectrum Sharing – Motivation
• Spectrum sharing among secondary users with different priorities
• Learning the absence of high-priority users enables low-priority users to access the underutilized spectrum
• Two approaches to learn it: (1) Database; (2) Sensing• Database: suitable for stable/regular users• Sensing: suitable for dynamical users
• Our focus: users with dynamical spectral activities
• Key challenge: can’t learn about the behavior of primary users in time• Prediction is hard based on static database• Sensing may not be fast enough and there will be certain delay
• How to fundamentally resolve this issue?
Sensing Delay and Inaccuracy Resilient Spectrum Sharing
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Sensing-Delay Resilient Spectrum Sharing – Information Theoretic Model
Channel Model
PU Activity
High-Priority User (PU)
Low-Priority User (SU)
(a worst-case assumption)
• Dynamical PU activity: difficult to predict
• What is the optimal trade-off between PU and SU data rates?
• What is the highest SU rate if PU wants to remain unaware of SU?
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Sensing-Delay Resilient Spectrum Sharing – Information Theoretical Results
Approximate Capacity Region Degrees of Freedom Characterization
Even when SU Txcannot predict PU’s activity, it can still achieve (1-p) DoF, as if it knows PU activity perfectly
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Sensing-Delay Resilient Spectrum Sharing – Proposed Scheme
PU
SU
Sense
New Data
PU New Data PU New Data
Sense
Retransmitted Data
Sense
New Data Retransmitted Data
Sense
PU operate dynamically, SU would sense the presence of PU.
Time
In reality, however, PU would continuously transmits a period of time N. How is the performance under non-i.i.d case?
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Sensing-Delay Resilient Spectrum Sharing – Performance Analysis
• How to evaluate the theoretic result under non-i.i.d case?• Power spectrum density of colored noise can illustrate the idea.• Implement water-filling algorithm
• Theoretic result:• Channel capacity• Under finite block N
• Channel dispersion• Optimal rate
f
-1/2 1/2
1
Under this scheme, we can guarantee that:
1. With a slight delay, there is no need to alter the PU transmission coding scheme, only deal with interference in PU receiver. The result coincides with point-to-point capacity!
2. Performance of SU is maintained just like i.i.d case. Even better!
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Sensing-Delay Resilient Spectrum Sharing – Year 2 Tasks and Deliverables
• Tasks:• Carry out and finish the information theoretic study of sensing-delay resilient
spectrum sharing.
• Develop an sensing-based architecture for secondary users with different priorities to share the spectrum based on the scheme we proposed.
• Integrate sensing among secondary users into LSA.
• Deliverables:• Fundamental characterization of the performance in a sensing-delay resilient
spectrum sharing system.
• Simulation of the proposed sensing-based spectrum sharing architecture among secondary users within the LSA framework.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Design of Cognitive Carrier Aggregation using SSK-GFDM
Transmission Technology of Generalized Frequency Division Multiplexing (GFDM) and Carrier Aggregation for LSA
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
BER comparison between SSK -GFDM and V-BLAST GFDM
• BER performance has been compared between SSK-GFDM and V-BLAST-GFDM.
• It is found that under low SNR conditions, BER-performance for V-BLAST GFDM is worse than SSK-GFDM.
• The adjacent figure shows the BER performance for spatial modulation (SM) GFDM vs V-BLAST GFDM.
• Higher order modulation schemes like 32-QAM, 64-QAM results in poor BER performance for V-BLAST-GFDM as compared to SM-GFDM.
• SM-GFDM provides extra flexibility of choosing both transmit antenna and transmit symbol (log2(NT)+log2(C)).
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Signal Flow Diagram inside USRP
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Future Work
ImplementDistributedSpatial-Modulation/SSK-GFDM system ina massive VirtualAntenna Array(VAA) setup.
Apply PhysicalLayer NetworkCoding (PLNC)concept to cancelinterference fromPU transmitter.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
• Compared to the conventional radio resource division schemes (FDM, TDM, CDM), wavelet packet division provides more flexibility in dividing the time-frequency resource and avoiding harmful interference patterns.
New Basis for Radio Resource Division - Wavelet Packet Division
.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Iterative Waveform Design on Top of the Best BasisSignal received by user k:
𝒓𝑘 t = 𝑖=1𝐾 𝑝𝑖𝑏𝑖𝒔𝑖 𝑡 + 𝒏(𝑡)
MSE = 𝑖=1𝐾 𝐸 𝒓𝒊
𝑇𝒔𝒊 − 𝑏𝑖 = 𝑝 𝑖=1𝐾 𝑗=1
𝐾 𝒔𝑖𝑇𝒔𝑗
2+ 1 − 2 𝑝 + 𝜊2 𝐾 , 𝑇𝑆𝐶 = 𝑖=1
𝐾 𝑗=1𝐾 𝒔𝑖
𝑇𝒔𝑗2
Iteratively update signature vector 𝒔𝑘 by 𝒄k 𝒄k =𝒁𝑘−1𝒔𝑘
𝒔𝑘𝑇𝒁𝑘
−2𝒔𝑘
12
, 𝒁k = 𝑗≠𝑘 𝒔𝑗𝒔𝑗𝑇 + 𝜎2𝐼𝑁
The MMSE problem reduces to finding the minimum Total Square Correlation.
Legacy Users 2, CR Users 6 Legacy Users 2, CR Users 7
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
CR System
Legacy Users data
Sensor (WP Basis)
Algorithm For Tiling Method
MMSE Update Algorithm
CRUsers data
國立臺灣大學電信研究中心Communication Research Center
National Taiwan UniversityPerformance with OFDM Legacy Users as Interference
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Future Work
• Implementation on the USRP platform
• Consider co-existing with legacy users, instead of
avoiding them – non-orthogonal waveform design
Legacy user
CR user CR user
BS
Legacy Transmission
CR Transmission
Legacy Interference(cancelled by DPC/SIC)
CR Interference
Relay Signal(CR will help relay legacy signal if legacy QoS is low)
Legacy Interference(cancelled by DPC/SIC)
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Backup
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Design of multi-tier LSA models and repository architecture
3GPP LTE standard on RAN Sharing Multi-strategy DSA in CR networks
Perform feature data analysis and feature extraction from diverse kinds of heterogeneous environmental information from the labeled data
Spectrum Available Map
New architecture of sensing-based spectrum sharing that is resilient to delay and inaccuracy
Implement a low complexity flexible multicarrier waveform
Practical and flexible radio resource division scheme
Spectrum Available Map
Command & Access
Year 1
Perform feature data analysis and feature extraction from diverse kinds of heterogeneous environmental information from the labeled data
Construct an AQI-correlated graph (ACG) to represent the spatial-temporal correlation between locations that are with and without AQI labels
Implement the proposed sensing scheme and crowd-sourcing augmented spectrum map and integrate them into USRP platform
USRP@2.3~2.4GHz Spectrum observatory Control server & interface (signaling,
data path)
USRP@2.3~2.4GHz Spectrum observatory Control server & interface
(signaling, data path) LTE small cell + Embedded
EPC switch platform
USRP@2.3~2.4GHz Spectrum observatory Control server & interface (signaling,
data path) LTE small cell + Embedded EPC switch
platform Crowd-sourcing augmented database
New architecture of sensing-based spectrum sharing that is resilient to delay and inaccuracy
Implement a low complexity flexible multicarrier waveform
Practical and flexible radio resource division scheme
Enhanced sensing-delay resilient system with practical baseband signal processing issues
Implement spectrum sharing strategy in Matlab and demonstrate using USRP
Non-orthogonal interference mitigation based on auto. sharing with flexible division
Over-the-air demo. of the sensing-delay resilient system
Implement cancellation carrier scheme using USRPs under indoor propagation environment
Hybrid non-orthogonal interference mitigation scheme
Year 2
Year 3
Subproject 1: Operation Model Analysis and Mechanism Design for Licensed Shared Access
Subproject 2: Integrated Spectrum Sensing and Identification of White Space for Spectrum Sensing
Subproject 3: Dynamic Spectrum Sensing-based Transmission and Access Technologies for Licensed Shared Access
Main Project Demo. Platform
Implementation of transmission and access technologies on USRP as a coexisting secondary network
Refined spectrum availability map
Refined spectrum availability map
Tasks and Deliverables
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
H2020 2016-1017
• Targeted Opening Joint Call for Proposal• 5M Euros from EU and 5M Euros from Taiwan• No EU budget goes to Taiwan participants (third country as USA, Canada, etc.)
• Future Internet • Networks, where the 5G PPP industry roadmap is complemented by disruptive
research and support to innovation infrastructures• Software Technologies, responding to the need of more flexible, reliable, secure and
efficient software for complex, mission critical and highly connected systems• Experimentation in large-scale or real-life environments, infrastructures for
validating Future Internet technologies, products and services and their application to related areas
• Innovation, supporting the emergence and nurturing of innovation ecosystems, supporting Web entrepreneurship, bottom-up innovation and social collaboration
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Joint Taiwan/EU Team
• ICT3.1 – 2016: 5G PPP Research and validation of critical technologies and systems
• ICT3.2 – 2016: 5G PPP Convergent Technologies • Challenges: tackles scalability and usability of mixed network technological approaches that
can benefit from previous research, towards validation of deployment at scale • a:Innovation actions
• b: Cooperation in access convergence • This activity takes advantage of the supporting 5G research and demonstration facilities
offered by Taiwan towards collaborative 5G research with the EU, and aims at developing and demonstrating an integrated convergent access across different air interface technologiesand the fronthaul/backhaul/core network. Test beds making use of the facilities offered by Taiwanese partners are targeted. It demonstrates the capabilities of new spectrum access schemes, including for co-working with the network. A system demonstrator showing applications potential is thus favoured, e.g. for high speed moving vehicles.
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Convergence of Heterogeneous Networks
• TVWS (802.11af), LSA (2.3 to 2.4 GHZ), WiFi along with emerging 5G radios
• Joint team with NTU, III (Institute of Information Industry), Mediatek, Poznan University of Technology, King’s Colleges, etc.
• Important Deadlines• CFP: starting in Dec. 2015 till Apr. 2015
國立臺灣大學電信研究中心Communication Research Center
National Taiwan University
Reference
[1] Deloitte, “The Impact of Licensed Shared Use of Spectrum,” Report for the GSM Association, 23 January 2014.
[2] Authorised Shared Access - An evolutionary spectrum authorisation scheme for sustainable economic growth and consumer benefit, Presentation at the WG FM, May 2011.
[3] Gerardo Daniel Aguirre Quiroz, Ashraf Awadelkarim Widaa Ahmed, and Jan Markendahl, “Can Licensed Shared Access bring benefits to Developing Countries? A comparison of the potential benefits of LSA in Europe and Latin America,” 7th Annual CMI Conference, Copenhagen, Denmark, November 2014.
[4] Phillipa Marks, Tony Lavender, Paul Hansell, and Tim Miller, “Spectrum Sharing: Something Old, Something New,” Plum Insight White Paper, February 2015.
Recommended