Performance Evaluation of the Angle Modulated Particle Swarm Optimization Algorithm in a Heterogeneous Network in Shared Spectrum Access

Abstract

Spectrum assignment (SA) controls the interference among secondary and primary users using spectrum sharing (SS) access. SA assigns the appropriate frequency band to a secondary user according to a predefined criterion. This work proposes a SA approach that controls the allocation channels to minimize network interference. The angle modulated particle swarm optimization (AMPSO) algorithm is applied to maximize the heterogeneous network (HetNet) throughput when secondary users exploit a channel simultaneously with a primary user. The AMPSO results are compared with the memory binary particle swarm optimization (MBPSO), the socio-cognitive particle swarm optimization (SCPSO), and the modified version of binary particle swarm optimization (ModBPSO). Comparison results showed that AMPSO is suited for scenarios with high quality of service (QoS) requirements and many secondary and primary users deployed in an area. AMPSO presents the best performance by maximizing spectrum reuse. It selects the secondary and primary users to share a communication channel and maximizes the total throughput in the HetNet.