Random Matrix and Channel Capacity of Massive Multiple- Input Multiple-Output Systems

The simulation and theoretical analysis of single-cell massive MIMO systems using random matrix theory covers important characteristics such as channel capacity and signal to interference plus noise ratio (SINR). The approximate value of the channel capacity and the approximate value of SINR are obtained by mainly modeling the single-cell MIMO and multi-cell MIMO channels with random matrices, linking the signal transmission error with the moment of the random matrix, and then performing spectral analysis and other operations on it.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800204
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
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article

Random Matrix and Channel Capacity of Massive Multiple- Input Multiple-Output Systems

Meining Ma
Chaos-based Image/Signal Encryption
article

Random Matrix and Channel Capacity of Massive Multiple- Input Multiple-Output Systems

Meining Ma
article en

Abstract

The simulation and theoretical analysis of single-cell massive MIMO systems using random matrix theory covers important characteristics such as channel capacity and signal to interference plus noise ratio (SINR). The approximate value of the channel capacity and the approximate value of SINR are obtained by mainly modeling the single-cell MIMO and multi-cell MIMO channels with random matrices, linking the signal transmission error with the moment of the random matrix, and then performing spectral analysis and other operations on it.

University of Science and Technology of China (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Chaos-based Image/Signal Encryption
DOISourceOpenAlex
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Random Matrix and Channel Capacity of Massive Multiple- Input Multiple-Output Systems — Meining Ma · (2024) | TGRS Research Map | TGRS