Throughput Maximization based Spectrum Allocation Algorithm under Different Channel Approaches for Underlay Cognitive Radio Networks

This paper proposes an odd spectrum allocation algorithm for underlay multi-user orthogonal frequency division multiplexing (MU-OFDM) based cognitive radio systems under different fading channel models to enhance the performance of the throughput. The main target of the proposed scheme here is to distribute the available subcarriers among cognitive users efficiently to enhance the cognitive network throughput while preserving the of primary users' QoS. The proposed algorithm considers the conventional Interference Power Constraint (IPC) to maintain the primary users' QoS. The results of simulation interpret that the proposed algorithm acquires a distinctly higher CR network throughput than that of the conventional IPC based schemes and the achieved throughput distinctly increases by increasing the number of CRs.