Capacity Analysis of Holographic MIMO Channels With Practical Constraints

Zhang, Yuan; Zhang, Jianhua; Zhang, Yuxiang; Yao, Yuan; Liu, Guangyi

doi:10.1109/lwc.2023.3262691

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…The authors of [15] extended the Fourier model in [12] to a multi-user scenario and derived the lower bound for the spectral efficiency of the system utilizing maximum ratio transmission (MRT) and zero-forcing (ZF) precoding schemes with the separable correlation structure. Assuming the wrapped Gaussian azimuth angle distribution and truncated Laplacian elevation angle distribution with the separable structure, the authors of [23] derived the variance profile for the holographic MIMO channels and analyzed the degree of freedom (DoF). Considering the potential of evanescent waves in near-field holographic communications and assuming the separable structure, the authors of [16] analyzed the ergodic MI and validated the improvement of the DoF by simulations.…”

Section: Introductionmentioning

confidence: 99%

Relay Assisted Max-SINR Transceiver Optimization Design for MIMO Interference Channels

Zhang

Zhou

et al. 2023

IEEE Trans. Veh. Technol.

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Holographic MIMO communication was proposed to sufficiently exploit the propagation characteristics of electromagnetic channels and boost the channel capacity. Unfortunately, the application of the electromagnetic theory to the electromagnetically large (compared to the wave-length) antenna arrays leads to a non-separable correlation structure for the smallscale fading due to the coupling effect between the transmit and receive antennas. Such a non-separable correlation structure poses challenging issues for characterizing the fundamental limits of holographic MIMO channels, which has not been tackled in the literature. In this paper, we investigate the distribution for the mutual information (MI) of holographic MIMO systems with the non-separable channel correlation, where both the line-ofsight and non-line-of-sight components are considered. We set up a central limit theorem for the MI by random matrix theory (RMT) and give the closed-form expressions for the mean and variance. The derived results are used to approximate the outage probability and reveal interesting physical insights regarding the impact of antenna spacing. It is shown that reducing antenna spacing will improve the ergodic MI and decrease the outage probability of holographic MIMO systems. The scaling law of the ergodic MI with respect to the antenna spacing is also derived. Numerical simulations validate the accuracy of the evaluation results.

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