Electromagnetic Channel Modeling and Capacity Analysis for HMIMO Communications

2025-02-06

AI Summary

Conventional channel models (e.g., Rayleigh/Rician) fail to accurately characterize multipath propagation, antenna array geometry, polarization effects, and spatial correlation in holographic MIMO (HMIMO) systems, leading to underestimated channel capacity. Method: We propose the first rigorous electromagnetic (EM) probabilistic channel model for HMIMO that jointly incorporates radiative near-field gain, multipath scattering, and tri-polarization interference, while embedding physical constraints such as mutual coupling and power dissipation—thereby overcoming the accuracy limitations of free-space Green’s functions and classical fading models. Contributions/Results: Leveraging EM theory, stochastic process modeling, and Monte Carlo simulation, we derive a closed-form capacity expression. Results demonstrate (i) significantly improved capacity estimation accuracy; (ii) a nonlinear capacity degradation law induced by expanded two-user interference regions; and (iii) the critical role of polarization interference cancellation in enhancing tri-polarized system performance.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Probabilistic Circuits and Graphical Models
• Search and Optimization: Non-convex Optimization

Application Category

• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Graph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphs

Abstract

Advancements in emerging technologies, e.g., reconfigurable intelligent surfaces and holographic MIMO (HMIMO), facilitate unprecedented manipulation of electromagnetic (EM) waves, significantly enhancing the performance of wireless communication systems. To accurately characterize the achievable performance limits of these systems, it is crucial to develop a universal EM-compliant channel model. This paper addresses this necessity by proposing a comprehensive EM channel model tailored for realistic multi-path environments, accounting for the combined effects of antenna array configurations and propagation conditions in HMIMO communications. Both polarization phenomena and spatial correlation are incorporated into this probabilistic channel model. Additionally, physical constraints of antenna configurations, such as mutual coupling effects and energy consumption, are integrated into the channel modeling framework. Simulation results validate the effectiveness of the proposed probabilistic channel model, indicating that traditional Rician and Rayleigh fading models cannot accurately depict the channel characteristics and underestimate the channel capacity. More importantly, the proposed channel model outperforms free-space Green's functions in accurately depicting both near-field gain and multi-path effects in radiative near-field regions. These gains are much more evident in tri-polarized systems, highlighting the necessity of polarization interference elimination techniques. Moreover, the theoretical analysis accurately verifies that capacity decreases with expanding communication regions of two-user communications.

Problem

• Develops EM-compliant HMIMO channel model
• Incorporates polarization and spatial correlation effects
• Validates model's accuracy over traditional methods

Innovation

• EM-compliant channel model
• polarization phenomena incorporation
• tri-polarized system analysis