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

Authors

  • Anabel Martínez-Vargas Universidad Politécnica de Pachuca
  • Ángel G. Andrade Universidad Autónoma de Baja California

DOI:

https://doi.org/10.13053/cys-26-2-4233

Keywords:

Angle modulated particle swarm optimization, spectrum assignment, spectrum sharing, heterogeneous network

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.

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Published

2022-06-15

Issue

Vol. 26 No. 2 (2022): Emerging Issues and Applications of Fuzzy Systems, Neural Networks and Metaheuristics (Castillo, Melin, Montiel, Valdez)

Section

Articles of the Thematic Issue

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