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arXiv · 2610.16259

Electromagnetic Singularity-Aware MIMO Channels: Scattering-Based Channel Modeling and Physics-Aware Power Allocation

Yubin Luo·Jieao Zhu·Takumi Takahashi·Hideki Ochiai
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Abstract

Electromagnetic information theory (EIT) brings electromagnetic physics into wireless channel analysis and offers a physical view of channel structures hidden by conventional models. This paper studies channel instability near electromag- netic singular states, where small environmental perturbations can cause large variations in the end-to-end channel. Using resolvent-based spectral analysis, we develop an electromag- netic multiple-input multiple-output (MIMO) channel model that decomposes the end-to-end channel into a smooth regular component and singularity-associated components. The analysis shows that the singularity-associated components become more sensitive to environmental perturbations near singular states. The proposed model also reveals a limitation of conventional water filling (WF): power allocation based only on instan- taneous channel gains does not account for such instability. We therefore estimate singularity information from broadband MIMO channel state information (CSI) and develop a singularity- aware transmit covariance optimization method. Simulations demonstrate numerical stability of the estimated pole frequencies and illustrate the environmental sensitivity of pole-associated channel components. The proposed allocation reduces weighted singular-channel exposure by 90.32% while retaining 95% of the nominal WF rate.

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Yubin Luo, Jieao Zhu, Takumi Takahashi, Hideki Ochiai. 2026-10-12. Electromagnetic Singularity-Aware MIMO Channels: Scattering-Based Channel Modeling and Physics-Aware Power Allocation. https://arxiv.org/abs/2610.16259

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