Multi-Antenna Array Topologies Optimization for Future Wireless Networks by Employing Particle Swarm Optimization

Huang, Y., Karadimas, P. and Pour Sohrab, A. (2019) Multi-Antenna Array Topologies Optimization for Future Wireless Networks by Employing Particle Swarm Optimization. In: 2019 PhotonIcs Electromagnetics Research Symposium - Spring (PIERS-Spring), Rome, Italy, 17-20 Jun 2019, pp. 4138-4143. ISBN 9781728134048 (doi: 10.1109/PIERS-Spring46901.2019.9017303)

Abstract

The purpose of this work is to design novel antenna array topologies that maximize channel capacity. Accordingly, we employ the particle swarm optimization (PSO) algorithm as an effective technique in similar electromagnetic problems. We use a novel modelling approach to derive the spatial fading correlation function by employing a generic three-dimensional (3-D) angle of arrival (AOA) model. We then employ the PSO algorithm to find the antenna array topology that maximizes the channel capacity. The use of the PSO algorithm together with the new modelling approach for the spatial correlation is sufficiently tested and verified in terms of efficiency and correctness of addressing similar type of electromagnetic problems. Moreover, the general AOA model of this work is adaptable to different propagation environments, thus our approach is very promising in this regard.

• Item Type: Conference Proceedings
• Keywords: Antenna arrays, channel capacity, direction-of-arrival estimation, fading channels, particle swarm optimisation, radio networks, general AOA model, spatial correlation, PSO algorithm, arrival model, spatial fading correlation function, novel modelling approach, similar electromagnetic problems, particle swarm optimization algorithm, channel capacity, antenna array topology, future wireless networks, multiantenna array topologies optimization, antenna arrays, correlation, channel capacity, springs, topology, electromagnetics, MIMO communication.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Pour Sohrab, Mr Abed and Karadimas, Dr Petros and Huang, Yingke
• Authors: Huang, Y., Karadimas, P., and Pour Sohrab, A.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISSN: 1559-9450
• ISBN: 9781728134048
• Published Online: 02 March 2020
• Copyright Holders: Copyright © 2019 IEEE
• First Published: First published in 2019 PhotonIcs Electromagnetics Research Symposium - Spring (PIERS-Spring): 4138-4143
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
301563		Bandwidth and Energy Efficient Compact Multi-Antenna Systems for Connected Autonomous Vehicles	Petros Karadimas	Engineering and Physical Sciences Research Council (EPSRC)	EP/R041660/1	ENG - Systems Power & Energy