On Secrecy Outage of Relay Selection in Underlay Cognitive Radio Networks over Nakagami- m Fading Channels

Hongjiang Lei, Huan Zhang, Imran Shafique Ansari, Zhi Ren, Gaofeng Pan, Khalid Qaraqe, Mohamed Slim Alouini

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

In this paper, the secrecy outage performance of an underlay cognitive decode-and-forward relay network over independent but not necessarily identical distributed Nakagami-m fading channels is investigated, in which the secondary user transmitter communicates with the secondary destination via relays, and an eavesdropper attempts to overhear the information. Based on whether the channel state information of the wiretap links is available or not, we analyze the secrecy outage performance with optimal relay selection (ORS) and suboptimal relay selection (SRS) schemes, and multiple relays combining scheme (MRC) scheme is considered for comparison purpose. The exact and asymptotic closed-form expressions for the secrecy outage probability with three different relay selection schemes are derived and verified by Monte-Carlo simulations. The numerical results illustrate that ORS scheme always outperforms SRS and MRC schemes, and SRS scheme is better than MRC scheme in the lower fading parameters scenario. Furthermore, through asymptotic analysis, we find that these three different schemes achieve the same secrecy diversity order, which is determined by the number of the relays, and the fading parameters of the links among the relays and the destination.

Original languageEnglish
Article number8054684
Pages (from-to)614-627
Number of pages14
JournalIEEE Transactions on Cognitive Communications and Networking
Volume3
Issue number4
DOIs
Publication statusPublished - 1 Dec 2017

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Keywords

  • decode-and-forward
  • Nakagami-m fading
  • relay selection
  • secrecy outage performance
  • Underlay cognitive networks

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

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