Performance Analysis of Cognitive Radio Network Using Enhanced Stimulated Annealing Algorithm

Abstract

This document presents the optimization of quality of service for unlicensed subscribers anticipating the QoS of the primary users as well. The concept of cognitive radio came into existence for the exclusive use of the unused spectrum space by the licensed users. The unlicensed user or the secondary users use the unoccupied spectrum spaces of licensed user's spectrum for the effective usage of the spectrum. The use of live streaming, Voice over Internet protocol(VoIP) and multi media applications which are delay sensitive applications throughout the session. The constraints like delay and throughput and the quality of service are affected due to these applications. To overcome these constraints the tradeoff between these parameters must be employed. In this paper, an extension to the non-work conservation policy is implemented in Cognitive radio network(CRN) by using the optimization algorithm known as Enhanced stimulated annealing(ESA) algorithm to bring forth the tradeoff between delay and throughput.