An Improved Scheduling Algorithm for Cognitive Radio Networks under Different Traffic Patterns

Abstract

Abstract In this paper we propose a spectrum sharing scheduling algorithm for an infrastructure based cognitive radio network. The problem is formulated to allocate channel to the secondary user (SU) based on the idle frequency band, distance, power, bit error rate and SINR. Two scheduling algorithms namely tournament scheduling (TMS) and optimized back–tracking scheduling (OBS) has been developed for the scenario where few primary and many secondary exist in a typical cognitive radio environment. The OBS and TMS algorithm has been implemented and simulated under different traffic patterns namely, Poisson and Pareto over constant bit rate (CBR), variable bit rate (VBR) and best effort services. The simulation result shows a considerable reduction in execution time for the OBS method under varying traffic load.