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Opportunistic use of client repeaters to improve performance of WLANs
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Source International Conference On Emerging Networking Experiments And Technologies archive
Proceedings of the 2008 ACM CoNEXT Conference table of contents
Madrid, Spain
Article No. 29  
Year of Publication: 2008
ISBN:978-1-60558-210-8
Authors
Paramvir Bahl  Microsoft Research
Ranveer Chandra  Microsoft Research
Patrick P. C. Lee  Columbia University
Vishal Misra  Columbia University
Jitendra Padhye  Microsoft Research
Dan Rubenstein  Columbia University
Yan Yu  Google Inc.
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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ABSTRACT

Currently deployed IEEE 802.11 WLANs (Wi-Fi networks) share access point (AP) bandwidth on a per-packet basis. However, the various stations communicating with the AP often have different signal qualities, resulting in different transmission rates. This induces a phenomenon known as the rate anomaly problem, in which stations with lower signal quality transmit at lower rates and consume a significant majority of airtime, thereby dramatically reducing the throughput of stations transmitting at high rates.

We propose a practical, deployable system, called Soft-Repeater, in which stations cooperatively address the rate anomaly problem. Specifically, higher-rate Wi-Fi stations opportunistically transform themselves into repeaters for stations with low data-rates when transmitting to/from the AP. The key challenge is to determine when it is beneficial to enable the repeater functionality. In this paper, we propose an initiation protocol that ensures that repeater functionality is enabled only when appropriate. Also, our system can run directly on top of today's 802.11 infrastructure networks.

We evaluate our system using simulation and testbed implementation, and find that SoftRepeater can improve cumulative throughput by up to 200%.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Paramvir Bahl: colleagues
Ranveer Chandra: colleagues
Patrick P. C. Lee: colleagues
Vishal Misra: colleagues
Jitendra Padhye: colleagues
Dan Rubenstein: colleagues
Yan Yu: colleagues