On Robust and Efficient Design of Optimally-Weighted Linear Arrays for mMIMO

Robust and efficient design of uniform linear arrays (ULA) with non-uniform weights for multi-user massive MIMO systems is formulated as a constrained min-max optimization problem to minimize the number of antennas while meeting performance target. Chebyshev beamforming weights are shown to be optimal for this problem in line-of-sight (LoS) channels when precise channel state information (CSI) of interfering users is not available. Based on this, explicit closed-form solutions are obtained for sum as well as per-user interference constraints, which reveal the scaling of the minimal number of antennas with target signal-to-interference plus noise ratio and the number of interfering users. Comparison with widely-used uniformweighting arrays highlights the superior scalability and efficiency of the proposed Chebyshev-based design, particularly in complex interference environments.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11161639
Primary Topic
Antenna Design and Optimization
Type
article
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article

On Robust and Efficient Design of Optimally-Weighted Linear Arrays for mMIMO

Elham Anarakifirooz, Ioannis Lambadaris, Sergey Loyka
Antenna Design and Optimization
article

On Robust and Efficient Design of Optimally-Weighted Linear Arrays for mMIMO

Elham Anarakifirooz, Ioannis Lambadaris, Sergey Loyka
article en

Abstract

Robust and efficient design of uniform linear arrays (ULA) with non-uniform weights for multi-user massive MIMO systems is formulated as a constrained min-max optimization problem to minimize the number of antennas while meeting performance target. Chebyshev beamforming weights are shown to be optimal for this problem in line-of-sight (LoS) channels when precise channel state information (CSI) of interfering users is not available. Based on this, explicit closed-form solutions are obtained for sum as well as per-user interference constraints, which reveal the scaling of the minimal number of antennas with target signal-to-interference plus noise ratio and the number of interfering users. Comparison with widely-used uniformweighting arrays highlights the superior scalability and efficiency of the proposed Chebyshev-based design, particularly in complex interference environments.

University of Ottawa (CA), Carleton University (CA)
Openalex Percentile: Top 65%
Antenna Design and Optimization
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On Robust and Efficient Design of Optimally-Weighted Linear Arrays for mMIMO — Elham Anarakifirooz, Ioannis Lambadaris, et al. · (2025) | TGRS Research Map | TGRS