Spatial channel degrees of freedom for optimum antenna arrays

Huang, Y., Karadimas, P. and Pour Sohrab, A. (2023) Spatial channel degrees of freedom for optimum antenna arrays. IEEE Transactions on Wireless Communications, (doi: 10.1109/TWC.2022.3231732) (Early Online Publication)

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One of the ultimate goals of future wireless networks is to maximize data rates to accommodate bandwidth-hungry services and applications. Thus, extracting the maximum amount of information bits for given spatial constraints when designing wireless systems will be of great importance. In this paper, we present antenna array topologies that maximize the communication channel capacity for given number of array elements while occupying minimum space. Capacity is maximized via the development of an advanced particle swarm optimization (PSO) algorithm devising optimum standardized and arbitrarily-shaped antenna array topologies. Number of array elements and occupied space are informed by novel heuristic spatial degrees of freedom (SDoF) formulations which rigorously generalize existing SDoF formulas. Our generalized SDoF formulations rely on the differential entropy of three-dimensional (3D) angle of arrival (AOA) distributions and can associate the number of array elements and occupied space for any AOA distribution. The proposed analysis departs from novel closed-form spatial correlation functions (SCFs) of arbitrarily-positioned array elements for all classes of 3D multipath propagation channels, namely, isotropic, omnidirectional, and directional. Extensive simulation runs and comparisons with existing trivial solutions verify correctness of our SDoF formulations resulting in optimum antenna array topologies with maximum capacity performance and minimum space occupancy.

Item Type:Articles
Status:Early Online Publication
Glasgow Author(s) Enlighten ID:Karadimas, Dr Petros and Pour Sohrab, Mr Abed and Huang, Yingke
Authors: Huang, Y., Karadimas, P., and Pour Sohrab, A.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Wireless Communications
ISSN (Online):1558-2248
Published Online:03 January 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in IEEE Transactions on Wireless Communications 2023
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
301563Bandwidth and Energy Efficient Compact Multi-Antenna Systems for Connected Autonomous VehiclesPetros KaradimasEngineering and Physical Sciences Research Council (EPSRC)EP/R041660/1ENG - Systems Power & Energy