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

Abstract: 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.

 Autoría: Khodaian M., Pérez J., Khalaj B., Crespo P.,

 Fuente: Eurasip Journal on Wireless Communications and Networking, 2012, 27

 Editorial: SpringerOpen

 Fecha de publicación: 30/01/2012

 Nº de páginas: 46

 Tipo de publicación: Artículo de Revista

 DOI: 10.1186/1687-1499-2012-27

 ISSN: 1687-1472,1687-1499

 Proyecto español: TEC2010-19545-C04-03

 Url de la publicación: https://doi.org/10.1186/1687-1499-2012-27