Revenue and Expense Optimization in a CRN Using DE Algorithm

Cognitive radio technology has been emerged to provide the solution of improvement of spectrum utilization. In this paper we consider a cognitive radio network in which there are primary users (PU) and a set of secondary users (SU). The spectrum is divided into channels using frequency division multiple access (FDMA). The channels are licensed to PUs. When PUs do not use the channels, they lease the vacant spectrum for monetary gain. SUs bid for the channels. PUs select the purchaser who provides highest bid value. Thus PUs can earn revenue by leasing the channels and SUs being the purchaser bid at a certain payoff. The main objective is to make both purchaser and the seller benefited. Here, using Differential evolution algorithm we solve both the objectives using a single objective function. The algorithm finds optimize value of the parameters.