Tri-Hybrid Multi-User Precoding Using Pattern-Reconfigurable Antennas: Fundamental Models and Practical Algorithms
Pinjun Zheng, Yuchen Zhang, Tareq Y. Al-Naffouri, Md. Jahangir Hossain, and Anas Chaaban

TL;DR
This paper introduces a tri-hybrid MIMO architecture with pattern-reconfigurable antennas, proposing models and algorithms to optimize multi-user communication, demonstrating potential performance improvements and highlighting hardware limitations.
Contribution
It develops two models for antenna reconfigurability and proposes corresponding tri-hybrid precoding algorithms based on the WMMSE framework.
Findings
Significant performance gains with tri-hybrid architecture in simulations.
Hardware constraints limit realization of full potential.
Joint antenna design and communication theory are needed for improvements.
Abstract
The integration of pattern-reconfigurable antennas into hybrid multiple-input multiple-output (MIMO) architectures presents a promising path toward high-efficiency and low-cost transceiver solutions. Pattern-reconfigurable antennas can dynamically steer per-antenna radiation patterns, enabling more efficient power utilization and interference suppression. In this work, we study a tri-hybrid MIMO architecture for multi-user communication that integrates digital, analog, and antenna-domain precoding using pattern-reconfigurable antennas. For characterizing the reconfigurability of antenna radiation patterns, we develop two models -- Model~I and Model~II. Model~I captures realistic hardware constraints through limited pattern selection, while Model~II explores the performance upper bound by assuming arbitrary pattern generation. Based on these models, we develop two corresponding…
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Taxonomy
TopicsAntenna Design and Analysis · Advanced MIMO Systems Optimization · Antenna Design and Optimization
