Equivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities

Author:

Bakulin Mikhail,Kreyndelin Vitaly,Melnik Sergei,Sudovtsev Vladimir,Petrov Dmitry

Abstract

One of the development directions of new-generation mobile communications is using multiple-input multiple-output (MIMO) channels with a large number of antennas. This requires the development and utilization of new approaches to signal detection in MIMO channels, since the difference in the energy efficiency and the complexity between the optimal maximum likelihood algorithm and simpler linear algorithms become very large. The goal of the presented study is the development of a method for transforming a MIMO channel into a model based on a sparse matrix with a limited number of non-zero elements in a row. It was shown that the MIMO channel can be represented in the form of a Markov process. Hence, it becomes possible to use simple iterative MIMO demodulation algorithms such as message-passing algorithms (MPAs) and Turbo.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Study of Interference Immunity of MMSE, ZF, and ML Demodulation Algorithms in MIMO Systems Under High-Order Modulation;2023 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO;2023-06-28

2. Analysis of the MU-MIMO System from the Perspective of Orthogonal and Non-Orthogonal Access;2023 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO;2023-06-28

3. Reduced Computational Complexity of Minimum Mean Squared Error Demodulation Algorithm without Performance Loss;2023 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO;2023-06-28

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5. An Analysis of Computational Complexity of Various Implementation Techniques of MMSE Demodulation Algorithm;2022 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO);2022-06-29

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