Optimizing Uniform Linear Arrays for Massive MIMO Applications

Massive MIMO (mMIMO) systems with uniform linear arrays (ULA) are considered in the non-asymptotic regime, when the number of antennas is bounded. To reduce the complexity of implementation, the number of antennas and their spacing is optimized subject to signal-to-interference plus noise (SINR) con...

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Bibliographic Details
Published inBiennial Symposium on Communications (Online) pp. 65 - 70
Main Authors Anarakifirooz, Elham, Loyka, Sergey
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.07.2023
Subjects
Antennas
Complexity theory
Direction-of-arrival estimation
Interference
Linear antenna arrays
Massive MIMO
Optimization
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ISSN2836-3493
DOI10.1109/BSC57238.2023.10201826

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Summary:Massive MIMO (mMIMO) systems with uniform linear arrays (ULA) are considered in the non-asymptotic regime, when the number of antennas is bounded. To reduce the complexity of implementation, the number of antennas and their spacing is optimized subject to signal-to-interference plus noise (SINR) constraints. While the resulting constrained optimization problems have difficult analytical structure (due to their non-convex nature), a novel analytical approach is proposed and a number of globally-optimal solutions/designs are obtained. The proposed designs are robust, they do not require a precise knowledge of directions of arrival for interfering users and preserve other important properties of mMIMO.
ISSN:2836-3493
DOI:10.1109/BSC57238.2023.10201826