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arXiv · 2512.02628

Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays

Carolina Nolasco-Ferencikova·Georg Schwan·Raphael Rolny·Alexander Stutz-Tirri·Christoph Studer
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Abstract

Massive multiple-input multiple-output (MIMO) offers substantial spectral-efficiency gains, but scaling to very large antenna arrays with conventional all-digital and hybrid beamforming architectures quickly results in excessively high costs and power consumption. Low-cost, switch-based architectures have recently emerged as a potential alternative. However, prior studies rely on simplified models that ignore (among others) antenna coupling, radiation patterns, and matching losses, resulting in inaccurate performance predictions. In this paper, we use a physically consistent electromagnetic modeling framework to analyze an ultra-dense patch-antenna array architecture that performs joint beamforming and matching using networks of inexpensive RF switches. Our results demonstrate that simple, switch-based beamforming architectures can approach the antenna-gain of all-digital solutions at significantly lower cost and complexity.

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Carolina Nolasco-Ferencikova, Georg Schwan, Raphael Rolny, Alexander Stutz-Tirri, Christoph Studer. 2025-12-02. Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays. https://arxiv.org/abs/2512.02628

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