English

Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays

Signal Processing 2025-12-03 v1 Information Theory math.IT

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.

Keywords

Cite

@article{arxiv.2512.02628,
  title  = {Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays},
  author = {Carolina Nolasco-Ferencikova and Georg Schwan and Raphael Rolny and Alexander Stutz-Tirri and Christoph Studer},
  journal= {arXiv preprint arXiv:2512.02628},
  year   = {2025}
}

Comments

Presented at the 59th Asilomar Conference on Signals, Systems, and Computers