Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918228140228608 |
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| author | Nolasco-Ferencikova, Carolina Schwan, Georg Rolny, Raphael Stutz-Tirri, Alexander Studer, Christoph |
| author_facet | Nolasco-Ferencikova, Carolina Schwan, Georg Rolny, Raphael Stutz-Tirri, Alexander Studer, Christoph |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_02628 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays Nolasco-Ferencikova, Carolina Schwan, Georg Rolny, Raphael Stutz-Tirri, Alexander Studer, Christoph Signal Processing Information Theory 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. |
| title | Joint Beamforming and Matching for Ultra-Dense Massive Antenna Arrays |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2512.02628 |