1 wm lab, tongji univ. performance evaluation methodology & key technologies of new generation...
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第( 1)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Performance Evaluation Methodology & Key Technologies of New Generation Broadband Wireless Access Networking
Zhiwei Gao
Broadband Wireless Communication and Multimedia Institute
School of Electronics and Information Engineering
Tongji University
http://wm.tongji.edu.cn
第( 2)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Future Wireless Broadband Test Environment
Parameters of Future Wireless Broadband
Wireless Access Sketch Maps
Platform of Wireless Access Scenarios
Simulation of Relay & Distributed Networks
Approach to Real World
Test Methodology
Simulation Platform Associated Application Traffic Test
Combination with Wireless Test Hardware
What Can We Test
第( 3)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Future Wireless Broadband Test Environment
Parameters of Future Wireless Broadband
Wireless Access Sketch Maps
Platform of Wireless Access Scenarios
Simulation of Relay & Distributed Networks
Approach to Real World
Test Methodology
Simulation Platform Associated Application Traffic Test
Combination with Wireless Test Hardware
What Can We Test
第( 4)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Framework of Tongji 4G-Test Research
第( 5)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Future Wireless Broadband Test Environment
Platform Parameters
Parameter Value
Carrier frequency 2.4 GHz ---- 6GHz
Channel bandwidth 2x50 MHz
Number of cells 7 (center evaluated)
Users per cell 10 (3 One-Hop, 7 2-Hop)
Inter-site deployment 800m, 1000m, 1200m
Distance BS – RN 45% of distance BS-BS
Traffic load 1-54 MBit/s
type of antennas omni
RN /UT number of antenna 1 2 4(MIMO)
BS transmission power 46 dBm
RN transmission power 37 dBm
UT transmission power 24 dBm
Traffic model Full buffer
Retransmissions Yes
Mobility Yes
Resource scheduling Exhaustive Round Robin (ERR)
Multi-Access Method OFDMA
IP Networks Full IP
The parameters used in the simulations of the baseline deployment in wide area test case are illustrated. The NLOS channel model was used for BS-RN links and NLOS for RN-MS links. We designed HARQ for packet retransmissions due to errors. We have assumed all the network nodes are IP-based. Users are considered to have mobility from BS to BS with mip.
Tongji BWA Lab
第( 6)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Wireless Access Sketch Maps
Backbone networks
Mobile RS
BUS
车载宽带无线接入
SS1
SS3SS2Fixed
RSMS
Relay网络
分布式网络
(433,750)
(866,0)(-866,0)
(-433,750)
(433,-750)(-433,-750)
BTS
Future Wireless Broadband Test Environment
Distributed Access1. Transmission Diversity and Receiver Diversity 2. Smart Antenna and two-dimensional space-time signal processing technology3. "Virtual cell" technology4. Distributed receiving station
Relay Access:1. Frame Structure.2. Cooperation and Macro-diversity between Relay Stations.3. Wireless Resource Management.4. Spectrum Allocation Technology.5. Design of ARQ/HARQ.6. Signal Processing mode of Relay Station.
第( 7)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Future Wireless Broadband Test Environment
Parameters of Future Wireless Broadband
Wireless Access Sketch Maps
Platform of Wireless Access Scenarios
Simulation of Relay & Distributed Networks
Approach to Real World
Test Methodology
Simulation Platform Associated Application Traffic Test
Combination with Wireless Test Hardware
What Can We Test
第( 8)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Broadband Wireless Access Simulation Platform
Simulation of Relay & Distributed Networks
In this system, mobile station which is around base station can access base station as one hop, otherwise, mobile station which is far from base station can access base station through multi-hops.
Distributed Access and signal processing are one of methods to enhance communication system capacity and spectrum efficiency of next generation wireless communication.
第( 9)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Approaching to Real WorldIntroducing relief map 、 contour line and modified propagation model when designing scenarios. Eventually come up with an approaching to real world simulation platform.
Platform of Wireless Access Scenarios
第( 10)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Future Wireless Broadband Test Environment
Parameters of Future Wireless Broadband
Wireless Access Sketch Maps
Platform of Wireless Access Scenarios
Simulation of Relay & Distributed Networks
Approach to Real World
Test Methodology
Simulation Platform Associated Application Traffic Test
Combination with Wireless Test Hardware
What Can We Test
第( 11)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Test Methodology
Simulation Platform Associated Application Traffic Test
第( 12)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Test Methodology
Simulation Platform Associated Application Traffic Test
Playing in local media server(Left)Playing in the receiver node with packet loss and delay(Right)
From OPNET
第( 13)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Test Methodology
Combination with Wireless Test Hardware
Cooperated with hardware test devices, using the modified propagation model and real data collected by test hardware.
第( 14)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Future Wireless Broadband Test Environment
Parameters of Future Wireless Broadband
Wireless Access Sketch Maps
Platform of Wireless Access Scenarios
Simulation of Relay & Distributed Networks
Approach to Real World
Test Methodology
Simulation Platform Associated Application Traffic Test
Combination with Wireless Test Hardware
What Can We Test
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WM Lab, Tongji Univ.
Coverage
Capacity
Mobility
Qos
What Can We Test
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WM Lab, Tongji Univ.
Coverage Test
Objective:•Validate network planning , and find the blind spot and the empty area of network coverage.
•Compare the coverage of the different service channel to verify the theoretical results.
•Through the test results of the same type of service in different wireless communication environment , verify the impact of the various parameters in the link budget.
A
A
B
B
第( 17)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
Objective:• In the actual environment, verifying if the number of largest
access users can reach or close to theoretical value. Test environment includes static and dynamic situations.
• In the test, every test should use the number of the largest users which meet QoS requirements as the determining principle of cell capacity.
Capacity Test
第( 18)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
content:• Capacity test can be considered as throughput test. It
includes throughput test of Single-user area and Multi-user area, and can be both mobile and fixed-point test. – a single-user movement test does research on MS loading
operations when moving from BS to marginal areas(Speed:20-40km/h). (radial-forward extrusion coverage)
– Multi-user movement test does research on MS in the near, medium and far distance, with the speed of movement along the loop. (loop coverage)
• Test environment can be divided into work and load conditions in single area and the adjacent areas.– Plot test of Single-user and multi-user area in the adjacent areas
are 50 per cent of the loading conditions in near, medium, far plot under C / I identify. (Near: 10 dB +; medium :5-10 dB; far :0-5 dB.)
Capacity Test
第( 19)页 http://WM.tongji.edu.cn
WM Lab, Tongji Univ.
• All IP Based Network;
• Mobile IP Technology;
• Multi-Cell Handover;
• In a Heterogeneous Network(Next Step).
Mobility Test
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WM Lab, Tongji Univ.
• QoS test depends on the service types of different networks.
• KPI (Key Performance Indicators) of QoS test include throughput , delay, jitter, BER/FER, etc.
Qos Test
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WM Lab, Tongji Univ.
Network Performance Evaluation
Qos Mobility Coverage Capacity
Network PlanningService Planning
Performance Report
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WM Lab, Tongji Univ.