A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing

DOI Web Site 1 Citations
  • Yangyi Chen
    College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Junyu Wei
    College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Shaojing Su
    College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China

Bibliographic Information

Published
2019-09-21
Rights Information
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/s19194090
Publisher
MDPI AG

Description

<jats:p>With the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of wideband wireless signals at once. Therefore, it is required that the wideband wireless signal has to be split into a set of sub-bands before the further signal processing. However, the sequence of sub-band perception has become one of the important factors, which deeply-impact wideband spectrum sensing performance. In this paper, we develop a novel approach for sub-band selection through the non-stationary multi-arm bandit (NS-MAB) model. This approach is based on a well-known order optimal policy for NS-MAB mode called discounted upper confidence bound (D-UCB) policy. In this paper, according to different application requirements, various discount functions and exploration bonuses of D-UCB are designed, which are taken as the parameters of the policy proposed in this paper. Our simulation result demonstrates that the proposed policy can provide lower cumulative regret than other existing state-of-the-art policies for sub-band selection of wideband spectrum sensing.</jats:p>

Journal

  • Sensors

    Sensors 19 (19), 4090-, 2019-09-21

    MDPI AG

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