Throughput analysis of different traffic distribution in Cognitive Radio Network

Abstract

A traffic distribution in a wireless network plays a major role in resource allocation. In this paper, we analyze throughput in Cognitive Radio Network (CRN) under two traffic distributions Pareto on-off and Poisson distribution. We consider a CRN where the cell is divided into different concrete circles and sectors. In each segment is analyzed and the channel is allocated accordingly while taking a count of Blocking -dropping probability and false alarm -missed detection probability. The system is simulated in java platform and results shows higher throughput for Poisson distribution.