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Adaptive access and rate control of CSMA for energy, rate, and delay optimization

Khodaian, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1186/1687-1499-2012-27
  3. Publisher: 2012
  4. Abstract:
  5. In this article, we present a cross-layer adaptive algorithm that dynamically maximizes the average utility function. A per stage utility function is defined for each link of a carrier sense multiple access-based wireless network as a weighted concave function of energy consumption, smoothed rate, and smoothed queue size. Hence, by selecting weights we can control the trade-off among them. Using dynamic programming, the utility function is maximized by dynamically adapting channel access, modulation, and coding according to the queue size and quality of the time-varying channel. We show that the optimal transmission policy has a threshold structure versus the channel state where the optimal decision is to transmit when the wireless channel state is better than a threshold. We also provide a queue management scheme where arrival rate is controlled based on the link state. Numerical results show characteristics of the proposed adaptation scheme and highlight the trade-off among energy consumption, smoothed data rate, and link delay
  6. Keywords:
  7. CSMA ; Adaptation scheme ; Adaptive Control ; Arrival rates ; Carrier sense ; Channel access ; Channel state ; Concave function ; Cross-layer adaptive ; Data rates ; Delay optimization ; Link delay ; Link state ; Numerical results ; Optimal decisions ; Optimal transmission policy ; Queue management scheme ; Queue size ; Rate controls ; Time varying channel ; Utility functions ; Wireless channel ; Adaptive algorithms ; Carrier communication ; Dynamic programming ; Energy utilization ; Optimization ; Carrier sense multiple access
  8. Source: Eurasip Journal on Wireless Communications and Networking ; Volume 2012 , 2012 ; 16871472 (ISSN)
  9. URL: http://www.jwcn.eurasipjournals.com/content/2012/1/27