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arXiv · 2611.02563

Energy-Efficient Tri-Hybrid Beamforming with Movable Pattern-Reconfigurable Antennas

Hong-Bae Jeon·Suhwan Jang·Chan-Byoung Chae
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Abstract

Conventional hybrid precoding is confined to the digital/analog domains, leaving the spatial and radiation-pattern degrees-of-freedoms (DoFs) largely untapped. To unlock these, we propose a movable pattern-reconfigurable antenna (MPRA) and an energy-efficient tri-hybrid framework that jointly optimizes the precoders, antenna positions, and radiation-pattern states. We develop a hardware-inspired power model capturing the energy and transmission-time costs of antenna reconfiguration. The resulting mixed discrete-continuous fractional problem is solved via an alternating-optimization framework combining fractional programming, Riemannian optimization, and switching-aware pattern optimization. Simulations demonstrate near-exhaustive-search performance and consistent energy-efficiency (EE) gains, validating the complementary benefits of antenna movement, pattern reconfiguration, and tri-hybrid precoding under hardware-inspired power and latency costs.

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Hong-Bae Jeon, Suhwan Jang, Chan-Byoung Chae. 2026-11-02. Energy-Efficient Tri-Hybrid Beamforming with Movable Pattern-Reconfigurable Antennas. https://arxiv.org/abs/2611.02563

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