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Statistical Decision Making Method for Cognitive Radio

Abstract : This work is about developing a decision making method, based on statistical modeling, for a cognitive radio receiver. By characterizing statistically the radio metrics, the intelligent equipment will be capable of making decisions on actions of reconfigurations, in order to adapt to the state of the environment. Through the adaptability of the radio receiver to the environment, we try also to reduce energy consumption by treating one scenario of reconfigurability which consists of switching off the equalizer when it is not necessary. Since this component is complex, the operation of turning it off should reduce the computational complexity of the receiver chain.
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Submitted on : Friday, March 16, 2012 - 10:30:54 AM
Last modification on : Thursday, January 20, 2022 - 12:54:07 PM



Salma Bourbia, Daniel Le Guennec, Khaled Grati, Adel Ghazel. Statistical Decision Making Method for Cognitive Radio. ICT 2012, 19th International Conference on Telecommunications, Apr 2012, Jounieh, Lebanon. 6 p., ⟨10.1109/ICTEL.2012.6221311⟩. ⟨hal-00679681⟩



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