Shanon’s rate based optimized scheme for radio resource allocation in cognitive radio network

Abstract

Leveraging on opportunistic communication for improving the efficient utilization of the radio spectrum is a huge success of Cognitive Radio (CR) concept. The ability for software defined radio to sense spectrum and detect vacant frequency spectrum at any time from the high capacity but congested wireless radio spectrum presents an effective approach to manage the scarce radio resources. In a dynamic environment, many parameters and situations have to be considered which affect the total data rate of the system. This work presents an optimized resource allocation scheme for scarce radio resource management considering; subcarrier allocation to secondary users and power allocation on subcarriers. An algorithm was designed with the aim of improving the total throughput of the CR system. Simulation results shows that when performing channel estimation with a larger number of training symbols, the sum capacity is largely increased.