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Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

A mathematical analysis of M-MIMO using ML based signal detection algorithms

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pp. 759–766Vol. 26Issue 3April 2023DOI: 10.47974/JDMSC-1751 Crossmark XML
Published Online:
01 Apr 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1751
Pages:
759–766

Abstract

The advanced radio communication is being rapidly deploying in the world. Multiple Inputs and Multiple Outputs (MIMO) is limited to 8 Antennas at the base station already utilized in fourth generation(4G). Massive-MIMO (M-MIMO) has been gaining and anormal popularities for its characteristics and utilisation in 5G. The throughput of the system is significantly increased by utilizing maximum number of antennas at the BS. However, the detection of the original signal is considered a complex task in massive MIMO. Hence, in this article we introduce a novel QRM-MLD method with an aim to enhance the throughput with a low intricacy. Further we compared a proposed Machine learning (ML) based QRM-MLD with existing detection scheme the experimental result revealed that the QRM-MLD acquired a gain of 2DB as compound with conventional QRM-MLD.

Keywords

Subject Classifications

68T45

References

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