Dynamic resource allocation and priority based scheduling for heterogeneous services in cognitive radio networks

Abstract

As a futuristic solution to the serious scarcity of spectrum and radio resources in today's scenario, cognitive radio offers great solutions. Cognitive radio is a groundbreaking approach in improving the utilization of precious natural resources. Cognitive radio network (CRN) is an intelligent wireless communication system that is aware of its environment. The problem of spectrum sensing by heterogeneous nodes, with varying computing power and sensing range, and spectrum allocation in CRN where there exist multiple primary users and secondary users have been considered. Focus has been laid on optimum resource allocations and scheduling for primary user (PU) and secondary user (SU) to maximize the performance of the whole network by reducing the interference at PU and also maximizing the throughput and minimizing the risk of overlapping the coverage of CRNs. The effectiveness of DRAPBS-CRN algorithm is compared with DRA-CRN and is found to be 26% more efficient using ns-2 simulation.