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Censor-Based Multi-Antenna Cooperative Spectrum Sensing over Erroneous Feedback Channels

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2019 IEEE Wireless Communications and Networking Conference (WCNC)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5386-7646-2
ISBN (Print)978-1-5386-7647-9
DOIs
Publication statusPublished - 31 Oct 2019
Publication typeA4 Article in a conference publication
EventIEEE Wireless Communications and Networking Conference -
Duration: 1 Jan 1900 → …

Publication series

NameIEEE Wireless Communications and Networking Conference
ISSN (Print)1525-3511
ISSN (Electronic)1558-2612

Conference

ConferenceIEEE Wireless Communications and Networking Conference
Period1/01/00 → …

Abstract

We propose a spectrally efficient censor-based cooperative spectrum sensing (C-CSS) approach for a sustainable cognitive radio network that consists of multiple antenna nodes and experiences imperfect sensing and reporting channels. First, analytic expressions are derived for the corresponding probabilities of detection and false alarm, assuming that each secondary user sends its detection outcome to a fusion center only when it believes to have detected a primary user's signal. Second, we derive lower bounds for the probability of false alarm, where we show that a sensing tail problem, which exist in the conventional (non-censor-based) scheme, can be effectively mitigated with the aid of the proposed C-CSS scheme. Simulation results are presented to corroborate the derived analytic results, and to provide theoretical and technical insights that are useful for the design of cognitive radio networks.

Keywords

  • Sensors, Cascading style sheets, Fading channels, Antennas, Conferences, Bandwidth, Cognitive radio

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