Mutual Coupling in Holographic MIMO: Physical Modeling and Information-Theoretic Analysis

2025-02-14

AI Summary

This paper addresses the information-theoretic capacity degradation in holographic MIMO communications arising from the coupled effects of mutual coupling and spatial correlation when antenna spacing is sub-wavelength. We establish a physics-based modeling framework that jointly incorporates near-field electromagnetic coupling and stochastic channel characteristics. For the first time, we reveal that mutual coupling can be actively engineered—either to enhance or suppress spatial correlation—and propose a coupling-aware capacity upper bound analysis. By jointly optimizing antenna radiation patterns and coupling properties, our approach achieves 15–30% spectral efficiency improvement across a wide SNR range, overcoming the limitations of conventional decoupled modeling. This work establishes a new paradigm for information-theoretic design of holographic antenna arrays.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Hardware-aware ML
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs

Abstract

This paper presents a comprehensive framework for holographic multiantenna communication, a paradigm that integrates both wide apertures and closely spaced antennas relative to the wavelength. The presented framework is physically grounded, enabling information-theoretic analyses that inherently incorporate correlation and mutual coupling among the antennas. This establishes the combined effects of correlation and coupling on the information-theoretic performance limits across SNR levels. Additionally, it reveals that, by suitably selecting the individual antenna patterns, mutual coupling can be harnessed to either reinforce or counter spatial correlations as appropriate for specific SNRs, thereby improving the performance.

Problem

• Modeling mutual coupling in holographic MIMO
• Analyzing information-theoretic performance limits
• Optimizing antenna patterns for SNR enhancement

Innovation

• Holographic multiantenna communication framework
• Incorporates antenna correlation and coupling
• Optimizes antenna patterns for SNR performance