Authors:
Wang Yao
;
Sheng Chen
and
Lajos Hanzo
Affiliation:
University of Southampton, United Kingdom
Keyword(s):
Bio-inspired computation, Evolutionary computation, Particle swarm optimisation, Multiple-input multipleoutput
communication, Multiuser transmission, Precoding, Vector precoding.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Soft Computing
Abstract:
Bio-inspired computational methods have found wide-ranging applications in signal processing and other walks of engineering. In this contribution, particle swarm optimisation (PSO) is invoked for designing optimal multiuser transmission (MUT) schemes for multiple-input multiple-output communication. Specifically, we consider the minimum bit-error-rate (MBER) linear MUT using PSO and we design a PSO aided MBER generalised vector precoding for nonlinear MUT. These PSO aided MUT techniques compare favourably with the state-of-the-art conventional schemes, in terms of performance and complexity.