Title: Learning-based p-persistent CSMA for secondary users of cognitive radio networks

Authors: Sarenna Bao; Takeo Fujii

Addresses: Computer and Information Engineering College, Inner Mongolia Normal University, No. 81, Zhaowuda Road, Saihan District, Huhhot City, Inner Mongolia Autonomous Region, 010022, China; Advanced Wireless Communication Center (AWCC), The University of Electro-Communications, 1-5-1, Choufugaoka, Choufu-shi, Tokyo 182-185, Japan ' Computer and Information Engineering College, Inner Mongolia Normal University, No. 81, Zhaowuda Road, Saihan District, Huhhot City, Inner Mongolia Autonomous Region, 010022, China; Advanced Wireless Communication Center (AWCC), The University of Electro-Communications, 1-5-1, Choufugaoka, Choufu-shi, Tokyo 182-185, Japan

Abstract: In this paper, we consider learning-based p-persistent carrier sense multiple access (CSMA) for cognitive radio secondary users (SUs) when the primary user (PU) operates with the conventional CSMA/CA scheme. The learning algorithms are applied to tune the value of p to balance the channel idle time and collision costs due to both the PU and the SUs sharing the same wireless channel. Our proposal comprises two steps: first, the Q-learning scheme is used to adjust the transmission probability p when the PU has imperfect sensing. Then, for the multiple SUs' case, a mixed strategy access policy is executed to solve the fairness problem in media access control (MAC). Our proposed scheme can maximise the SUs' throughput and ensure protection of the performance of the PU, as well.

Keywords: secondary users; cognitive radio networks; p-persistent CSMA; Q learning; mixed strategy; carrier sense multiple access; channel idle time; collision costs; fairness problem; media access control; MAC.

DOI: 10.1504/IJSSC.2013.056028

International Journal of Space-Based and Situated Computing, 2013 Vol.3 No.2, pp.102 - 112

Received: 11 Oct 2012
Accepted: 16 Mar 2013

Published online: 25 Aug 2013 *

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