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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.
 |
1
|
Atul Adya , Paramvir Bahl , Ranveer Chandra , Lili Qiu, Architecture and techniques for diagnosing faults in IEEE 802.11 infrastructure networks, Proceedings of the 10th annual international conference on Mobile computing and networking, September 26-October 01, 2004, Philadelphia, PA, USA
[doi> 10.1145/1023720.1023724]
|
 |
2
|
Daniel Aguayo , John Bicket , Sanjit Biswas , Glenn Judd , Robert Morris, Link-level measurements from an 802.11b mesh network, Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications, August 30-September 03, 2004, Portland, Oregon, USA
|
| |
3
|
Atheros. Atheros Wireless LAN. http://www.atheros.com/.
|
| |
4
|
Bahl et al. Opportunistic Use of Client Repeaters to Improve Performance of WLANs. Technical Report MSR-TR-2008-149, Microsoft Research, 2008.
|
| |
5
|
R. Chandra, V. Bahl, and P. Bahl. MultiNet: Connecting to multiple IEEE 802.11 networks using a single wireless card. In INFOCOM, 2004.
|
 |
6
|
|
| |
7
|
Cisco. Aironet 1200 Series Access Point. http://www.cisco.com/en/US/products/hw/wireless/ps430/index.html.
|
| |
8
|
D-Link. Air Pro Wireless Acess Point. http://www.dlink.com/.
|
 |
9
|
Douglas S. J. De Couto , Daniel Aguayo , John Bicket , Robert Morris, A high-throughput path metric for multi-hop wireless routing, Proceedings of the 9th annual international conference on Mobile computing and networking, September 14-19, 2003, San Diego, CA, USA
[doi> 10.1145/938985.939000]
|
 |
10
|
Richard Draves , Jitendra Padhye , Brian Zill, Routing in multi-radio, multi-hop wireless mesh networks, Proceedings of the 10th annual international conference on Mobile computing and networking, September 26-October 01, 2004, Philadelphia, PA, USA
[doi> 10.1145/1023720.1023732]
|
| |
11
|
|
 |
12
|
|
| |
13
|
M. Heusse, F. Rousseau, G. Berger-Sabbatel, and A. Duda. Performance Anomaly of 802.11b. In INFOCOM, 2003.
|
 |
14
|
Martin Heusse , Franck Rousseau , Romaric Guillier , Andrzej Duda, Idle sense: an optimal access method for high throughput and fairness in rate diverse wireless LANs, Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications, August 22-26, 2005, Philadelphia, Pennsylvania, USA
|
| |
15
|
Srikanth Kandula , Kate Ching-Ju Lin , Tural Badirkhanli , Dina Katabi, FatVAP: aggregating AP backhaul capacity to maximize throughput, Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, p.89-104, April 16-18, 2008, San Francisco, California
|
| |
16
|
F. Kelly, A. Maulloo, and D. Tan. Rate control in communication networks: shadow prices, proportional fairness and stability. In Journal of the Operational Research Society, volume 49, 1998.
|
| |
17
|
S. Lee, S. Banerjee, and B. Bhattacharjee. The Case for a Multi-hop Wireless Local Area Network. In INFOCOM, 2004.
|
| |
18
|
P. Liu, Z. Tao, S. Narayanan, T. Korakis, and S. Panwar. A Cooperative MAC protocol for Wireless LANs. JSAC, 25(2), Feb 2007.
|
| |
19
|
S. Narayanan, P. Liu, and S. Panwar. On the advantages of multi-hop extensions to the IEEE 802.11 infrastructure mode. In WCNC, 2005.
|
| |
20
|
B. Sagdehi, V. Kanodia, A. Sabharwal, and E. Knightly. Opportunistic Media Access For Multirate Ad Hoc Networks. In MOBICOM, 2002.
|
| |
21
|
Scalable Network Technologies. Qualnet Network Simulator.
|
 |
22
|
Anmol Sheth , Christian Doerr , Dirk Grunwald , Richard Han , Douglas Sicker, MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs, Proceedings of the 4th international conference on Mobile systems, applications and services, June 19-22, 2006, Uppsala, Sweden
[doi> 10.1145/1134680.1134701]
|
| |
23
|
G. Tan and J. Guttag. Time-based Fairness Improves Performance in Multi-Rate WLANs. 2004.
|
| |
24
|
G. Tan and J. Guttag. The 802.11 MAC Protocol Leads to Inefficient Equilibria. In INFOCOM, 2005.
|
| |
25
|
TTCP. The Story of the TTCP Program. http://ftp.arl.mil/mike/ttcp.html.
|
| |
26
|
WiDeFi. Two Radio Repeaters. http://www.widefi.com/.
|
 |
27
|
Starsky H. Y. Wong , Hao Yang , Songwu Lu , Vaduvur Bharghavan, Robust rate adaptation for 802.11 wireless networks, Proceedings of the 12th annual international conference on Mobile computing and networking, September 23-29, 2006, Los Angeles, CA, USA
[doi> 10.1145/1161089.1161107]
|
CITED BY
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Paramvir Bahl , Ranveer Chandra , Patrick P. C. Lee , Vishal Misra , Jitendra Padhye , Dan Rubenstein , Yan Yu, Opportunistic use of client repeaters to improve performance of WLANs, IEEE/ACM Transactions on Networking (TON), v.17 n.4, p.1160-1171, August 2009
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