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Optimal Antenna Array Topologies for Energy Efficiency Maximization by Employing Particle Swarm Optimization

Huang, Yingke; Karadimas, Petros; Sohrab, Abed Pour


Yingke Huang

Abed Pour Sohrab


The purpose of this work is to design novel antenna array topologies that maximize the energy efficiency (EE) in multiple-input-multiple-output (MIMO) wireless systems. To provide insights into EE optimization issues, the particle swarm optimization (PSO) algorithm is employed as an effective technique. First, we adopt a flexible and generalized three-dimensional (3D) angle of arrival (AOA) model to account for realistic propagation environments. Then we derive a novel closed-form spatial correlation function (SCF) relevant to the locations of antenna array elements in the 3D space. In this paper, we incorporate our SCF into the EE derivation and apply the PSO algorithm to find the optimal antenna array topology in space that maximizes the EE. The derived EE is significantly higher compared to existing state-of-the art research that employed an exponential SCF. We provide new insights into EE maximization for antenna arrays, where the simulation results demonstrate the effectiveness and usefulness of the proposed approach.

Presentation Conference Type Conference Paper (Published)
Conference Name 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)
Start Date Sep 9, 2019
End Date Sep 13, 2019
Online Publication Date Oct 17, 2019
Publication Date 2019
Deposit Date Dec 28, 2022
Publisher Institute of Electrical and Electronics Engineers
Pages 187-191
Book Title 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)
Keywords Angle of arrival model, Antenna array topologies, energy efficiency, particle swarm optimization, spatial correlation function
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