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RSS-based Carrier Sensing and Interference Estimation in 802.11 Wireless Networks Jeongkeun Lee*, Sung-Ju Lee +, Wonho Kim*, Daehyung Jo*, Taekyoung Kwon*

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Presentation on theme: "RSS-based Carrier Sensing and Interference Estimation in 802.11 Wireless Networks Jeongkeun Lee*, Sung-Ju Lee +, Wonho Kim*, Daehyung Jo*, Taekyoung Kwon*"— Presentation transcript:

1 RSS-based Carrier Sensing and Interference Estimation in 802.11 Wireless Networks Jeongkeun Lee*, Sung-Ju Lee +, Wonho Kim*, Daehyung Jo*, Taekyoung Kwon* and Yanghee Choi* IEEE SECON 2007

2 Outline Introduction Carrier sense and Interference relation RSS based prediction Evaluation Conclusion

3 Introduction Estimate the carrier sensing and Predict interference  Before: Symmetric CS relation  This paper: Asymmetric CS relation Based on 802.11a mesh network testbeds  Two links

4 Carrier sensing and Interference relation In 802.11a systems  Energy-detection carrier sensing threshold 20dB (6 Mbps) CS range ≦ Communication range  RSS: receiver signal strength

5 Carrier sensing and Interference relation C1 : Y (L2 can be sensed by L1) F1: Y (L1 suffers interference form L2)

6 Two Link Topologies Mutual CS No interference (INT)Mutually hidden INT Mutual INT One-way hidden INT

7 Normalized link throughput/goodput UDP packets: 1000bytes PHY rate: 6Mbps Broadcast/unicast transmission period: 30s TX throughput (traffic rate) RX goodput (traffic rate successfully delivered)

8

9 RSS based prediction RSS Measurement Methodology Carrier Sensing and TX Throughput Prediction Interference and RX Goodput Prediction

10 RSS Measurement Methodology Broadcast hello messages  6 Mbps  High power and normal power HP = NP + Y dB

11 Carrier Sensing and TX Throughput Prediction RSS low RSS high

12 Carrier Sensing and TX Throughput Prediction S1 R1 S2 R2 r 1 = S 1 estimates by the RSS of hellos form S2 TX 1 =1- C*TX def,1 ^^

13 Interference and RX Goodput Prediction SIR at R 1 : sir 1 = r 11 –r 21 (dB) SIR : signal-to-interference-ratio

14 Evaluation Testbed in HP labs(HPL) 11 nodes 200 hello packet for each node 9hrs

15 Evaluation

16 Conclusion RSS based prediction  Physical layer capture  Hidden interference In experiments  O(n) measurement overhead Future work  Different chipsets  Many interferers

17 Thank for your listening

18 Occurrence Frequency 10-node testbed in HP labs(HPL) 11-node testbed in Seoul National University (SNU)


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