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Wireless Networks

, Volume 24, Issue 5, pp 1683–1697 | Cite as

Opportunistic channel access with repetition time diversity and switching cost: a block multi-armed bandit approach

  • Zhiqiang Qin
  • Jinlong Wang
  • Jin Chen
  • Youming Sun
  • Zhiyong Du
  • Yuhua Xu
Article

Abstract

In this paper, we investigate the channel access problem considering switching cost in the block fading channels with unknown information of channel occupation and quality. We formulate this problem as a multi-armed bandit (MAB) problem with the goal of minimizing the outage rate and avoiding frequent channel switching. To achieve this goal, a block based multi-armed bandit (BMAB) learning algorithm is proposed. Furthermore, the BMAB algorithm is extended to cope with the short-term deep channel fading, by exploiting the repetition time diversity (RTD). The regrets of the proposed two algorithms are proved to be logarithmic in time. Performance analysis and simulation results show that the proposed algorithms outperform standard SMAB algorithm in average system outage rate, switching cost and throughput. In addition, the repetition time diversity multi-armed bandit (RTDMAB) algorithm is better than BMAB algorithm in the presence of deep channel fading at the cost of receiving complexity .

Keywords

Opportunistic channel access Cognitive radio Multi-armed bandit Switching cost Repetition time diversity 

Notes

Acknowledgements

This work is supported in part by the National Natural Science Foundation of China under Grant Nos. 61401508 and 61601490.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.China National Digital Switching System Engineering & Technological R&D CenterZhengzhouChina
  2. 2.College of Communications EngineeringPLA University of Science and TechnologyNanjingChina
  3. 3.PLA Academy of National Defence InformationWuhanChina

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