Transformer-Based Hybrid Beamforming with Reconfigurable Pixel Antenna for HAPS Communications

Fuente: arXiv
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Main Authors: Wang, Ruiqi, Wan, Ziwei, Ying, Keke, Gao, Zhen
Format: Preprint
Published: 2026
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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