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Computational Complexity Reduction in a Cognitive Radio Receiver for Green Communications

Abstract : The work presented in this paper concerns the cognitive and green communications. It consists of developing a decision making method, based on statistical modeling, that makes the receiver radio able to dynamically adapt to the change of its environment. Also, we try to use this adaptability to obtain green communication by treating scenarios of reconfiguration that contribute to the reduction of energy consumption. For this goal, we treat the scenario of adapting the use of the equalizer to the state of the environment. It is to decide dynamically to turn off or to keep this component in the receiver chain. This action of turning off the equalizer should reduce the computational complexity of the receiver.
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https://hal-supelec.archives-ouvertes.fr/hal-00679462
Contributor : Anne Cloirec <>
Submitted on : Friday, March 16, 2012 - 10:21:29 AM
Last modification on : Wednesday, October 14, 2020 - 3:53:53 AM

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  • HAL Id : hal-00679462, version 1

Citation

Salma Bourbia, Daniel Le Guennec, Khaled Grati, Adel Ghazel. Computational Complexity Reduction in a Cognitive Radio Receiver for Green Communications. WSR 2012, 7th Workshop on Software Radios, Mar 2012, Karlsruhe, Germany. 6 p. ⟨hal-00679462⟩

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