An efficient scheduling algorithm using queuing system to minimize starvation of non-real-time secondary users in Cognitive Radio Network

Abstract

Cognitive Radio Network is an emerging popular wireless network, designed for efficient spectrum utilization. It enables unlicensed users to access the unused portion of the licensed spectrum opportunistically. The major challenge is to share the unused portion of the spectrum efficiently to the unlicensed users. Channel aggregation is an interesting approach by which channels can be grouped and allocated to unlicensed users. A combined Round Robin Priority (RRP) scheduling algorithm is proposed by which the starvation of low priority SUs are minimized and QoS parameters are better compared to the traditional static and dynamic channel aggregation method. Fuzzy Inference System is used to evaluate the priority of the Secondary User. The QoS parameters utilized for comparison are spectrum utilization, capacity of the secondary network, delay, blocking probability and forced termination probability.