Secure Channel Selection Using Multi-Armed Bandit Algorithm in Cognitive Radio Network

Masahiro Endo, Tomoaki Ohtsuki, Takeo Fujii, Osamu Takyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, some papers that apply a multi-armed bandit algorithm for channel selection in a cognitive radio system have been reported. In those papers, channel selection based on Upper Confidence Bound (UCB) algorithm has been proposed. However, in those selection, secondary users are not allowed to transmit data over same channels at the same time. Moreover, they do not take security of wireless communication into account. In this paper, we propose secure channel selection methods based on UCB algorithm, taking secrecy capacity into account. In our model, secondary users can share same channel by using transmit time control or transmit power control. Our proposed methods lead to be secure against an eavesdropper compared to conventional channel selections based on only estimated channel availability. By computer simulation, we evaluate average system secrecy capacity. As a result, we show that our proposed channel selections improve average system secrecy capacity compared to conventional channel selection.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
DOIs
Publication statusPublished - 2017 Nov 14
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 2017 Jun 42017 Jun 7

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-June
ISSN (Print)1550-2252

Other

Other85th IEEE Vehicular Technology Conference, VTC Spring 2017
CountryAustralia
CitySydney
Period17/6/417/6/7

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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  • Cite this

    Endo, M., Ohtsuki, T., Fujii, T., & Takyu, O. (2017). Secure Channel Selection Using Multi-Armed Bandit Algorithm in Cognitive Radio Network. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings [8108219] (IEEE Vehicular Technology Conference; Vol. 2017-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2017.8108219