Threshold Optimization for Energy Detection-Based Spectrum Sensing Over Hyper-Rayleigh Fading Channels

Eleftherios Chatziantoniou, Ben Allen, Vladan Velisavljevic

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Spectrum sensing is a key function of cognitive radio systems. Sensing performance is determined by three main factors including the wireless channel between the primary system and the cognitive radio nodes, the detection threshold, and the sensing time. In this letter a closed-form expression for the average probability of detection for energy detection based spectrum sensing over two-wave with diffuse power fading channels is derived. This expression is then used to optimize the detection threshold for cognitive radio nodes, which operate in confined structures that exhibit worse than Rayleigh fading conditions. Such fading conditions can represent a behavioral model of cognitive machine-to-machine systems deployed in enclosed structures such as in-vehicular environments.
Original languageEnglish
Pages (from-to)1077 - 1080
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number6
DOIs
Publication statusPublished - 26 Mar 2015

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