On Selection of Parameters for Cooperative Spectrum Sensing Schemes over κ–μ Fading Channels

Abstract

The current paper studies comprehensive analysis of various cooperative spectrum sensing (CSS) schemes in generalized κ − μ fading environment. More precisely, the optimization of several network parameters as well as throughput performance analysis of various CSS schemes are studied. In each CSS scheme, every cognitive radio user (CRU) first senses and receives the primary user (PU) signal using sensing channels, performs an energy detection (ED) operation. Depending upon the type of the scheme, CRU makes and forwards its local binary decision or simply forwards its data to the fusion center (FC) with the help of reporting channels. Then FC implements any one of the CSS schemes for making a final decision about busy or free status on PU. The novel expressions for missed and false detection probabilities subject to CSS scheme under fading are developed. The performance of several decision and data CSS schemes through total error rate, considering different network and κ − μ fading parameters is investigated. The impact of erroneous channel conditions on each CSS scheme is investigated. The expressions for optimal system parameters of decision-based CSS schemes under fading are developed and optimal values for different network conditions are estimated. Further, the throughput performance of decision-based CSS schemes for different networks and κ − μ fading parameters values is studied.