An Improved Power Control AFSA for Minimum Interference to Primary Users in Cognitive Radio Networks

Abstract In order to make primary users (PUs) receive minimum interference generated from all secondary user (SUs) in underlay cognitive radio networks (CRNs), while ensure the quality of services (QoS) of SUs, a strategy of standard distributed optimal power control based on artificial fish swarm algorithm (AFSA) is proposed. The strategy considers interference plus noise ratio of each SU under the minimum threshold and the transmit power of each SU below the maximum permitted power. To well adapt to the dynamic communication scenarios and enhance QoS for SUs, an improved artificial fish swarm algorithm (IAFSA) is also presented. Simulation-based performance analysis illustrate that, in comparison with the particle swarm optimization algorithm, chaos particle swarm optimization algorithm and shuffled frog leaping algorithm, both AFSA and IAFSA can lead SUs to transmit less power in order to reduce the interference to PUs, and simultaneously provide fast global convergence, stability, robustness to CRNs, and better communication performance.

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