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Optimal scheduling and power control for tdma based point to multipoint wireless networks
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Proceedings of the second ACM SIGCOMM workshop on Networked systems for developing regions table of contents
Seattle, WA, USA
SESSION: Long distance wireless table of contents
Pages 7-12  
Year of Publication: 2008
ISBN:978-1-60558-180-4
Authors
Rabin Patra  University of California, Berkeley, Berkeley, CA, USA
Sonesh Surana  University of California, Berkeley, Berkeley, CA, USA
Sergiu Nedevschi  University of California, Berkeley, Berkeley, CA, USA
Eric Brewer  University of California, Berkeley, Berkeley, CA, USA
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

In TDMA-based point-to-multipoint rural wireless deployments, co-located base station radios and sector antennas are used to increase base station capacity. To achieve maximum capacity with limited availability of non-overlapping wireless channels, we need to operate as many radios as possible from different sectors on the same channel. However, operating co-located radios on the same channel can result in substantial interference especially with the current practice of operating all radios at maximum power. We investigate techniques that increase network throughput by eliminating this interference.

To this end we formulate an LP optimization problem that maximizes throughput by computing optimal transmit schedules, optimal allocation of clients to base station radios, and optimal radio power levels. Our results suggest that there is a large gap between currently-used and optimal strategies, creating opportunities for simple, practical algorithms to address these issues. Our techniques are equally applicable to both WiFi based networks as well as other point-to-multipoint technologies such as WiMax.


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
AirJaldi Wireless Network. http://summit.airjaldi.com.
 
2
Akshaya E-Literacy Project. http://www.akshaya.net.
 
3
Aravind Eye Care System. http://www.aravind.org.
 
4
CPLEX: LP Solver. http://www.ilog.com.
 
5
IEEE P802.11, The Working Group for Wireless LANs. http://grouper.ieee.org/groups/802/11/.
 
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WiMAX forum. http://www.wimaxforum.org.
7
 
8
S. M. Mishra, J. Hwang, D. Filippini, T. Du, R. Moazzami, and L. Subramanian. Economic Analysis of Networking Technologies for Rural Developing Regions. In WINE, December 2005.
 
9
R. Patra, S. Nedevschi, S. Surana, A. Sheth, L. Subramanian, and E. Brewer. WiLDNet: Design and Implementation of High Performance WiFi Based Long Distance Networks. In NSDI, 2007.
 
10
K. Paul, A. Varghese, S. Iyer, and B. R. A. Kumar. WiFiRe: Rural Area Broadband Access Using the WiFi PHY and a Multisector TDD MAC. New Directions in Networking Technologies in Emerging Economics, IEEE Communications Magazine, 2006.
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N. P. Reddy. The SRAWAN MAC Protocol to support Real-Time Services in Long Distance 802.11 Networks. Master's thesis, IIT Chennai, 2006.
 
13
A. Sheth, S. Nedevschi, R. Patra, S. Surana, L. Subramanian, and E. Brewer. Packet Loss Characterization in WiFi-based Long Distance Networks. In IEEE INFOCOM, 2007.


Collaborative Colleagues:
Rabin Patra: colleagues
Sonesh Surana: colleagues
Sergiu Nedevschi: colleagues
Eric Brewer: colleagues