Spectrum-sensing in cognitive radio networks over composite multipath/shadowed fading channels. (May 2016)

• Record Type: Journal Article
• Authors: Atawi, Ibrahem E.; Badarneh, Osamah S.; Aloqlah, Mohammed S.; Mesleh, Raed
• Is Part Of: Computers & electrical engineering. Volume 52(2016)
• Page Start: 337
• Page End: 348
• Publication Date: 2016-05
• Subjects: Average detection probability -- Cooperative detection -- Energy detector -- Extended generalized-K fading -- Spectrum-sensing -- Square-law-selection; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.12.014
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: Performance of ED in CRNs over EGK fading channels is analyzed. Unified analytical expressions for the average detection probability are derived. Performance of diversity reception and cooperative sensing is analyzed. Graphical abstract: Abstract: This paper analyzes the performance of spectrum-sensing-based energy detection (ED) in cognitive radio networks (CRNs) over generalized fading channels. The fading channel is modeled by the extended generalized-K (EGK) distribution. Exact and accurate analytical expressions for the average detection probability with different detection schemes, such as, single channel, diversity reception, and cooperative spectrum sensing, are derived and evaluated. Obtained expressions can be reduced to other well-known fading channels such as, Weibull, Nakagami- m, and Rayleigh. It is shown that the analytical framework can be used for both integer and non-integer values of the fading/shadowing parameters. The impact of key fading/shadowing parameters on the performance of energy detectors is discussed with receiver operating characteristics (ROC) curves. The accuracy of the derived analytical expressions is corroborated via Monte-Carlo simulation results.