PSO and CPSO Based Interference Alignment for K-User MIMO Interference Channel

TL;DR

This paper explores using Particle Swarm Optimization and Cooperative PSO to optimize Interference Alignment in K-User MIMO channels, addressing complex decision variables and convergence issues in wireless communication systems.

Contribution

It introduces PSO and CPSO methods for interference alignment, providing a comparative analysis and demonstrating their potential for large-scale optimization in MIMO channels.

Findings

PSO and CPSO effectively optimize interference alignment.

CPSO shows better convergence for large-scale problems.

The approach offers a promising alternative to traditional IA design methods.

Abstract

This paper investigates how to use a metaheuristic based technique, namely Particle Swarm Optimization (PSO), in carrying out of Interference Alignment (IA) for $K$-User MIMO Interference Channel (IC). Despite its increasing popularity, mainly in wireless communications, IA lacks of explicit and straightforward design procedures. Indeed, IA design results in complex optimization tasks involving a large amount of decision variables, together with a problem of convergence of the IA solutions. In this paper the IA optimization is performed using PSO and Cooperative PSO (CPSO) more suitable for large scale optimization, a comparison between the two versions is also carried out. This approach seems to be promising.