Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS Communications
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910231590600704 |
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| author | Wang, Ruiqi Wan, Ziwei Ying, Keke Gao, Zhen |
| author_facet | Wang, Ruiqi Wan, Ziwei Ying, Keke Gao, Zhen |
| contents | This paper proposes a Transformer-based hybrid beamforming framework for reconfigurable pixel antenna (RPA)-equipped massive multiple-input multiple-output (MIMO) in high-altitude platform station (HAPS) communications. The proposed pattern reconfigurable hybrid beamforming network (PR-HBFNet) comprises two key components: 1) a pattern reconfigurable network that leverages a Transformer encoder to determine the radiation pattern for each antenna element, and 2) a hybrid beamforming network that employs model-driven residual learning to compute analog and digital precoders over SVD-based initializations. Simulation results demonstrate that the proposed PR-HBFNet closely approaches the spectral efficiency of a greedy benchmark while significantly reducing computational complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_17858 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS Communications Wang, Ruiqi Wan, Ziwei Ying, Keke Gao, Zhen Information Theory This paper proposes a Transformer-based hybrid beamforming framework for reconfigurable pixel antenna (RPA)-equipped massive multiple-input multiple-output (MIMO) in high-altitude platform station (HAPS) communications. The proposed pattern reconfigurable hybrid beamforming network (PR-HBFNet) comprises two key components: 1) a pattern reconfigurable network that leverages a Transformer encoder to determine the radiation pattern for each antenna element, and 2) a hybrid beamforming network that employs model-driven residual learning to compute analog and digital precoders over SVD-based initializations. Simulation results demonstrate that the proposed PR-HBFNet closely approaches the spectral efficiency of a greedy benchmark while significantly reducing computational complexity. |
| title | Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS Communications |
| topic | Information Theory |
| url | https://arxiv.org/abs/2605.17858 |