Tri-Hybrid Multi-User Precoding Based on Electromagnetically Reconfigurable Antennas
Pinjun Zheng, Yuchen Zhang, Tareq Y. Al-Naffouri, Md. Jahangir, Hossain, Anas Chaaban

TL;DR
This paper explores tri-hybrid multi-user precoding using electromagnetically reconfigurable antennas, highlighting the benefits and limitations of pattern optimization and the importance of hardware realizability for practical performance gains.
Contribution
It introduces a spherical harmonics-based pattern optimization and a projection method to ensure physical realizability, analyzing their impact on system performance.
Findings
Pattern optimization improves sum rate performance.
Projection onto realizable sets reduces or negates performance gains.
Hardware limitations affect practical implementation.
Abstract
The tri-hybrid precoding architecture based on electromagnetically reconfigurable antennas (ERAs) is a promising solution for overcoming key limitations in multiple-input multiple-output communication systems. Aiming to further understand its potential, this paper investigates the tri-hybrid multi-user precoding problem using pattern reconfigurable ERAs. To reduce model complexity and improve practicality, we characterize each antenna's radiation pattern using a spherical harmonics decomposition. While mathematically tractable, this approach may lead to over-optimized patterns that are physically unrealizable. To address this, we introduce a projection step that maps the optimized patterns onto a realizable set. Simulation results demonstrate that spherical harmonics-based radiation pattern optimization significantly enhances sum rate performance. However, after projection onto a…
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Taxonomy
TopicsCooperative Communication and Network Coding · Antenna Design and Analysis · Advanced MIMO Systems Optimization
MethodsSparse Evolutionary Training
