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In this paper, we present an Multi-Dimensional Learning multiple access control scheme for cognitive radio users in unlicensed spectrum. The proposed scheme is developed by applying reinforcement learning to the perspectives of both channel assignment and retransmission policy based upon a multichannel p-persistent CSMA algorithm. In a distributed open spectrum sharing situation, decisions regarding...
In this paper, two different multiple access control schemes with reduced sensing functions, called restricted sensing and minimum sensing, have been proposed for the application of cognitive radio in unlicensed and open spectrum bands. The schemes are developed by combining the usage of multichannel CSMA and a reinforcement learning algorithm in a distributed manner. By considering the learning experience...
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