Equivalent MIMO Channel Matrix Sparcification for Enhancement of Sensor Capabilities

One of the directions of development of new generations of mobile communications is the use of MIMO channels with a large number of antennas. This requires the development and use of new approaches to signal detection in such channels, since the difference in both energy efficiency and complexity be...

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Bibliographic Details
Published in2021 International Conference on Engineering Management of Communication and Technology (EMCTECH) pp. 1 - 6
Main Authors Bakulin, M.G., Kreyndelin, V.B., Melnik, S.V., Sudovtsev, V.A., Petrov, D.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.10.2021
Subjects
Channel models
Complexity theory
Detectors
Energy efficiency
Markov processes
MIMO
Mobile communication
Sparse matrices
Sparse Matrix
Turbo Coding
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Summary:One of the directions of development of new generations of mobile communications is the use of MIMO channels with a large number of antennas. This requires the development and use of new approaches to signal detection in such channels, since the difference in both energy efficiency and complexity between the optimal maximum likelihood algorithm and simpler linear algorithms becomes very large. The goal of the paper is development of a method for transforming a MIMO channel model into a channel with a sparse matrix with a limited number of nonzero elements in a row or representing a MIMO channel signal in the form of a Markov process for using simple iterative MIMO demodulation algorithms (MPA, Turbo, etc.).
DOI:10.1109/EMCTECH53459.2021.9619187