Coupling Effects and Analysis in Extremely Large-Scale Planar Array Antennas
Zhiwei Yuan, Zhuxian Lian, Yinjie Su, Yajun Wang, Chuanjin Zu, Bibo Zhang, Lin Ling

TL;DR
This paper introduces a new framework for optimizing signal transmission in large antenna arrays by accounting for mutual coupling effects, improving power efficiency and performance.
Contribution
A novel coupling-aware precoding framework using a Neumann series approximation for inverse coupling in extremely large antenna arrays.
Findings
Coupling-aware received power maximization aligns with the dominant eigendirection of the coupling-shaped channel.
Eigenmode design outperforms coupling-aware MRT in power efficiency under mutual coupling.
The proposed method is robust in multipath scenarios and achieves the highest received power in simulations.
Abstract
This paper develops a physically consistent precoding framework for extremely large antenna arrays (ELAAs), incorporating structural mutual coupling through a two-dimensional impedance network. To maintain scalability, we introduce a Neumann series approximation for the inverse coupling operator. Our analysis reveals that coupling-aware received power maximization reduces to a Hermitian rank-one quadratic form, whose optimum aligns with the dominant eigendirection of the effective coupling-shaped channel. This result indicates that both eigen-decomposition-based optimization and coupling-aware maximum ratio transmission (MRT) enhance power efficiency under mutual coupling, with the eigenmode design achieving superior performance. In addition, we further extend the analysis from the free-space path to the multipath scenario, demonstrating the robustness and adaptability of the proposed…
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Taxonomy
TopicsAntenna Design and Optimization · Antenna Design and Analysis · Advanced MIMO Systems Optimization
