On the performance of energy detection-based CR with SC diversity over IG channel. Issue 12 (2nd December 2017)

• Record Type: Journal Article
• Authors: Verma, Pappu Kumar; Soni, Sanjay Kumar; Jain, Priyanka
• Is Part Of: International journal of electronics. Volume 104:Issue 12(2017)
• Page Start: 1945
• Page End: 1956
• Publication Date: 2017-12-02
• Subjects: Probability density function -- average probability of detection -- diversity -- complementary receiver operating characteristics -- adaptive threshold; Electronics -- Periodicals; Electronic control -- Periodicals; 621.381
• DOI: 10.1080/00207217.2017.1330425
• Languages: English
• ISSNs: 0020-7217

Abstract

ABSTRACT: Cognitive radio (CR) is a viable 5G technology to address the scarcity of the spectrum. Energy detection-based sensing is known to be the simplest method as far as hardware complexity is concerned. In this paper, the performance of spectrum sensing-based energy detection technique in CR networks over inverse Gaussian channel for selection combining diversity technique is analysed. More specifically, accurate analytical expressions for the average detection probability under different detection scenarios such as single channel (no diversity) and with diversity reception are derived and evaluated. Further, the detection threshold parameter is optimised by minimising the probability of error over several diversity branches. The results clearly show the significant improvement in the probability of detection when optimised threshold parameter is applied. The impact of shadowing parameters on the performance of energy detector is studied in terms of complimentary receiver operating characteristic curve. To verify the correctness of our analysis, the derived analytical expressions are corroborated via exact result and Monte Carlo simulations.