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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Garcia-Saavedra, A. Banchs, A. Serrano, P. Widmer, J. |
| Copyright Year | 2012 |
| Description | Author affiliation: University Carlos III, Madrid, Spain (Garcia-Saavedra, A.; Banchs, A.; Serrano, P.) || Institute IMDEA Networks, Madrid, Spain (Widmer, J.) |
| Abstract | Distributed Opportunistic Scheduling (DOS) techniques have been recently proposed to improve the throughput performance of wireless networks. With DOS, each station contends for the channel with a certain access probability. If a contention is successful, the station measures the channel conditions and transmits in case the channel quality is above a certain threshold. Otherwise, the station does not use the transmission opportunity, allowing all stations to recontend. A key challenge with DOS is to design a distributed algorithm that optimally adjusts the access probability and the threshold of each station. To address this challenge, in this paper we first compute the configuration of these two parameters that jointly optimizes throughput performance in terms of proportional fairness. Then, we propose an adaptive algorithm based on control theory that converges to the desired point of operation. Finally, we conduct a control theoretic analysis of the algorithm to find a setting for its parameters that provides a good tradeoff between stability and speed of convergence. Simulation results validate the design of the proposed algorithm and confirm its advantages over previous proposals. |
| Starting Page | 540 |
| Ending Page | 548 |
| File Size | 261696 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467307734 |
| ISSN | 0743166X |
| e-ISBN | 9781467307758 |
| DOI | 10.1109/INFCOM.2012.6195795 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Throughput Algorithm design and analysis Equations Stability analysis Transfer functions Adaptive algorithms Control theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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