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SWAN: an Open Wireless Testbed
for IMT-Advanced Technologies
Yang Yang
Shanghai Research Center for Wireless Communications
Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences
Outline
• Shanghai Research Center for Wireless
Communications (WiCO)
• SWAN: Shanghai Wireless Advanced
Network
Software simulation platform
Indoor testing platform
Outdoor mobile environment
Application demonstration platform
• Green Wireless Communications
WiCO: Shanghai Research Center for Wireless Communications
MOST: International Center for Wireless
Collaborative Research
MOST: International Collaboration Base of Science &
Technology
STCSM: Research and Engineering Center for Broadband
Wireless Communication Technologies
CAS: Key Lab of Wireless Sensor Networks & Communications
Science and Technology Commission of Shanghai Municipality
Chinese Academy of Sciences (CAS), Shanghai
Institute of Micro-system and Information Technology
Changning District Government, Shanghai
Southeast University
Research Team
• 60+ employees
• 20+ PG students
• Visiting researchers
• Adjunct professors
Employee StructureOthers 9%
Bachelor
23%
Master 40%
PhD 28%
PhD Master Bachelor Others
Research Areas
Physical Layer
• Cognitive Radio and Dynamic Spectrum Access
• Interface management technologies
Wireless Testbed
• Simulation platform
• Indoor testing platform
• Outdoor environment
• Application demo system
Patents and Standard Proposals
R&D
Collaboration
Network Layer
• Relay technologies
• Self-organized Networks
• Networks convergence
Current Research Projects
56 projects in the
last two years
Total: RMB 83M+
research funding
Research Outcomes (2004-2010)
140+ technical patents, 70+ standard proposals
6 books, 140+ research articles
IEEE Xplore Top 100 Downloads (03/2010)
• This ranking list covers all
R&D areas in Electronics
and Electrical Engineering
• 36. Carrier aggregation for LTE-advanced mobile communication systems
• 60. Self-configuration and self-optimization for LTE networks
• 97. Relay technologies for WiMax and LTE-advanced mobile systems
International R&D Collaborations
WiCO-Nokia P1, 2004
WiCO-Ericsson, 2004
WiCO-Siemens, 2005
WiCO-CEA-LETI, 2005
WiCO-France Telecom, 2005
WiCO-Mobile VCE, 2005
WiCO-Prompt, 2006
WiCO-Nokia P2, 2007
WiCO-CSIRO, 2009
WiCO-Nokia P3, 2010
…
SWAN: Shanghai Wireless Advanced Network
Advanced Open Wireless Testbed: A Must
OFDM
MIMO
Smart Antenna
Cognitive Radio
Link Adaptation
Wireless Relay
Network Coding
IPv6
…
New
Technologies
New
Standards
Users
Operators
Manufacturers
Standards
…
New
Requirements
Indoor/Outdoor
Open, Flexible
Expendable,
Professional,
Multiple bands,
…
Testing and
Evaluation
New
Systems
New
Business
Models
New
Services
Aim and Objectives
To save your R&D time by 30%-50%
Technical Requirements
• Wireless data rate: 1 Gbps (static) and 100 Mbps
(mobile)
• Spectrum efficiency: 5-10 bps/Hz (D-link), 2.5-7
bps/Hz (U-link)
• Frequency bands: 450-470MHz, 698-790MHz, 2.3-
2.4GHz, 3.4-3.6GHz
• Transmission bandwidth: 20/40/100 MHz
• MIMO support: 4x6MIMO
• Wireless channel models: Rice, Rayleigh,
Nakagami, GSM, DCS, IS-54, IS-95, 3GPP/3GPP2
SCM, SUI, WINNER, etc.
• Application protocols: HTTP, SSL, FTP, Telnet,
POP3, SMTP, RTSP, RTP, etc.
SWAN: Shanghai Wireless Advanced Network
Requirements
Analysis
Air interface
Technologies
Network
Technologies
System
Prototypes
Validation
and Demos
Software
Simulation
Integrated
Testing Platform
SWAN: A Testbed for IMT-Advanced Technologies
Services and
Applications
Ind
oo
r Testin
g
Pla
tform
Ou
tdo
or M
ob
ile
En
viro
nm
ent
ScramblingAfter FEC Enc Modulation DFT RE mapping SC-FDMATo analog
processing
After FEC Enc Scrambling Spreading Modulation
ZC
generation
PUSCH RS
PRACH
PUCCH RS
SRS
Bits from higher layer
图1 UL 传输链示图
After analog
processingAnt#1
Ant#2
Remove
CPFFT Deframing
RE
demapping
MIMO
equalization
TxD
equalization
After analog
processingRemove
CPFFT Deframing
RE
demapping
Channel
estimation
Layer
demmapingDemodulation Descrambling
Layer
demmapingDemodulation Descrambling
Layer
demmapingDemodulation Descrambling
Layer
demmapingDemodulation Descrambling
Layer
demmapingDemodulation Descrambling
PDSCH #1 To FEC Dec
PDSCH #2
PUSCH data
PUCCH dataBits from higher layer
PCFICH
PHICH
PDCCH
图2 DL 传输链示图
To FEC Dec
To FEC Dec
To FEC Dec
To FEC Dec
Software Simulation Platform
• 3GPP LTE R8
uplink and
downlink channels
implementation
• Parallel computing
facility at Shanghai
Supercomputer
Center (25K cores)
• Multi-cell multi-
user scenarios
(system-level
simulation)
Indoor Testing Platform
• A VISA-based open, shared and flexible
testing environment
System
Under
Test
(SUT)
Software &
Hardware
Equipments
Control
& Demo
Platform
Indoor Testing Platform
Floor plan: ~300m2
20A1
A5 A6
D3
C1 C4C3C2 C5 D4
A9A7 A10A8
A1机柜:600X600X1100
可移动
B1 机柜:600X900X1800
可移动
C1 机柜:600X1200X2400
D1 工作台:1200X2400X800
立柱:800X800X2700
基带测试试验区射频和空口测试试验区
系统测试试验区
图展区 图展区室内试验区
系统演示区
D1 D2
B2B1A3
A4A2
业务测试和演示工作区被测设备总调试验区
电
视
幕
墙
系统演示测试控制台
用户体验区
玻璃移门 玻璃移门
RF SUT Applic
ations
Control
Users
Baseband Network Demo
Outdoor Mobile Environment
• Support multiple freq bands & transmission bandwidths
• Support urban, suburban, rural, and
highway communication scenarios
• Support both TDD and FDD systems
• Support relay and other technologies
• Support distributed radio networks
Phase
I
Phase
II
Application Demonstration Platform
• Broadband
multimedia traffic
from the Internet,
digital TV programs,
and telecom
networks
• High data-rate and
very bursty traffic to
demonstrate the
capabilities of IMT-
Advanced
technologies
室内演示
标清电视源
上海工程技术大学外场2
古北小区外场1
上海文广
FTP服务器流媒体服务器 Web服务器
IPV4
IPV6
高清电视源
上海电信武宁路ASON
CUC
上海交大
Internet
CERNET1CERNET2
3TNet
CU2CU1
上海宽带中心机房
室外演示
临空经济园外场3
CU3
上海临空经济园区机房
RAURAU
RAU
FTP服务器流媒体服务器 Web服务器
WWW.SWAN.SH (coming soon)
Green Wireless Communications
Green Wireless Communications
• Energy efficient wireless network design and implementation
• Low-energy base stations: power amplifier, front-end filter
• Measuring and evaluation methodologies of carbon footprint
for ICT technologies
CN
IuB
IuB Uu
Uu
Iu
S1
X2
X2
X2
Link Performance Enhancement •Energy efficient TX/RX technologies •MIMO techniques
Infrastructure Evolution •Relay •femtocell •Cooperative communications •Networks convergence
Resources Management •QoS guarantee •Low energy consumption •Energy efficiency models
Self-Organized Network
•Dynamic energy management •Interference management
Cell C
Cell ACell B
Cell ACell B
(a) (b)
(c)
Cell A
Cell B
Cell ACell B
(d)
Research Focuses and Expertise
• Cognitive radio and dynamic spectrum access
• Self-organized network (SON)
• Relay technologies
• Interference management
• Networks convergence
Standard Proposals on CR Technology
• Accepted by National ITU Standardization
Promotion Group
• Cognitive spectrum hole definition
• Cognitive Pilot Channel (CPC) definition and
function
• Centralized decision making
• Cognitive MAC spectrum sensing
• Cognitive directional transmission for vertical
coexistence
• The last four proposals have been accepted by ITU
(Geneva, 11-21 May 2010), ITU WP5A [LMS.CRS].
Standard Proposals on SON Technology
• Accepted by National IMT-Advanced/LTE-
Advanced Standardization Promotion Group
• Issue on PRACH load congestion
• Consideration of Cell type in MRO
• Distinguish the cause of RLF
• HO Configuration Negotiation
• Consideration on Unnecessary HO
• Issues on Mobility Change Request Procedure
• The Negotiation of Cell Reselection Parameters
in MLB
Standard Proposals on Relay Technology
• L1 Relay Backward Compatibility Analysis (3GPP TSG RAN)
• Downlink and Uplink Timing Synchronization for TDD Relays
(3GPP TSG RAN)
• Performance for Demodulate and Forward (DmF) Relays
• Analysis of Transmission Delay in Relay-enhanced Systems
• Distributed Link Adaptation for Relay-enhanced Systems
• On Link Adaptation for TDD Type II Relay-enhanced Systems
• Association of UE in Type II Relay-enhanced Systems
• Downlink Power Control for Mobile Relay
• Power Control for TDD Uplink
• Mode Management for Mobile Relays
• Downlink Flow Control for Un Interface
• Handover Optimization for Relay-enhanced Systems
• HARQ Timing for TDD Relays
• Batteries are non-ideal energy reservoirs • Battery Recovery Effect
• We are motivated to exploit battery recovery to optimise energy efficiency.
Available Capacity
Potential Capacity
Battery Recovery is Possible, When Stop Discharging
Battery Recovery Aware Sensor Networks
Battery Aware Communication Protocols
• Distributed Random Duty Cycle
Based on pseudo-random sequence
• Battery Aware Duty Cycle
Forced to sleep when being active for a long period
Chi-Kin Chau Battery Recovery Aware Sensor Networks
• Harnessing Battery Recovery Effect in Sensor Networks, IEEE Journal on Selected Areas in Communications (JSAC), 2010.
Battery Aware Communication Protocols
Standard proposals on energy efficiency
metrics for base stations, ITU-T SG5/WP3,
Geneva, May 2011.
Standard Proposals on Energy Efficiency
Professor Yang Yang, [email protected]
Shanghai Research Center for Wireless Communications
Add: 6/F Information Building, 280 Linhong Road, Shanghai 200335, China
Tel: +86(21) 6128 0635
Fax: +86(21) 6128 0638
http://www.shrcwc.org