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

Huang, Y. K.; Karadimas, P.; Sohrab, A. P.

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.

Citation

Huang, Y. K., Karadimas, P., & Sohrab, A. P. (2019, June). Multi-Antenna Array Topologies Optimization for Future Wireless Networks by Employing Particle Swarm Optimization. Presented at 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring), Rome, Italy

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)
• Start Date: Jun 17, 2019
• End Date: Jun 20, 2019
• Online Publication Date: Mar 2, 2020
• Publication Date: 2019
• Deposit Date: Dec 28, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 4138-4143
• Series ISSN: 1559-9450
• Book Title: 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)
• DOI: https://doi.org/10.1109/piers-spring46901.2019.9017303
• Public URL: http://researchrepository.napier.ac.uk/Output/2994200