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Transmit antenna selection in M-MIMO system using metaheuristic aided model.

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Title: Transmit antenna selection in M-MIMO system using metaheuristic aided model.
Authors: Singh, Charanjeet1 (AUTHOR) charanjeet.research@gmail.com, Singh, Pawan Kumar1 (AUTHOR)
Source: Journal of High Speed Networks. 2024, Vol. 30 Issue 2, p221-238. 18p.
Subjects: Transmitting antennas, Optimization algorithms, Metaheuristic algorithms, Antennas (Electronics), Radio frequency, MIMO systems
Abstract: Massive MIMO (M-MIMO) devices are the key tool to meet the performance stards established for 5G-wireless communication. However, more Radio Frequency (RF) chains needed in base station (BS) with a huge count of transmitting antennas, involve expensive hardware and computing complexities. In order to decrease the RF chains needed in BS, this work intended to use the optimal transmit antenna selection (TAS) strategy. This strategy is gaining a lot of interest since the optimization algorithm aids in the ability to enhance the system performance considerably the efficiency and secrecy rate. This work proposes a novel Coati Adopted Pelican Optimization (CA-PO) for choosing the optimal TA by considering efficiency as well as secrecy rate. In addition, the CA-PO algorithm makes the decision on which antenna to be elected. At last, the supremacy of CA-PO-based TAS is proven from the analysis regarding secrecy rate and EE analysis. Accordingly, the proposed CA-PO method for MF for set up 2 has attained a higher EE of 0.976; whereas, the DMOA, COA, MRFO, POA and BEA techniques have got a relatively lower EE of 0.968. [ABSTRACT FROM AUTHOR]
Copyright of Journal of High Speed Networks is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Transmit antenna selection in M-MIMO system using metaheuristic aided model.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Charanjeet%22">Singh, Charanjeet</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> charanjeet.research@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Singh%2C+Pawan+Kumar%22">Singh, Pawan Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+High+Speed+Networks%22">Journal of High Speed Networks</searchLink>. 2024, Vol. 30 Issue 2, p221-238. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Transmitting+antennas%22">Transmitting antennas</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Antennas+%28Electronics%29%22">Antennas (Electronics)</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+frequency%22">Radio frequency</searchLink><br /><searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Massive MIMO (M-MIMO) devices are the key tool to meet the performance stards established for 5G-wireless communication. However, more Radio Frequency (RF) chains needed in base station (BS) with a huge count of transmitting antennas, involve expensive hardware and computing complexities. In order to decrease the RF chains needed in BS, this work intended to use the optimal transmit antenna selection (TAS) strategy. This strategy is gaining a lot of interest since the optimization algorithm aids in the ability to enhance the system performance considerably the efficiency and secrecy rate. This work proposes a novel Coati Adopted Pelican Optimization (CA-PO) for choosing the optimal TA by considering efficiency as well as secrecy rate. In addition, the CA-PO algorithm makes the decision on which antenna to be elected. At last, the supremacy of CA-PO-based TAS is proven from the analysis regarding secrecy rate and EE analysis. Accordingly, the proposed CA-PO method for MF for set up 2 has attained a higher EE of 0.976; whereas, the DMOA, COA, MRFO, POA and BEA techniques have got a relatively lower EE of 0.968. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of High Speed Networks is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3233/JHS-230087
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 221
    Subjects:
      – SubjectFull: Transmitting antennas
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Metaheuristic algorithms
        Type: general
      – SubjectFull: Antennas (Electronics)
        Type: general
      – SubjectFull: Radio frequency
        Type: general
      – SubjectFull: MIMO systems
        Type: general
    Titles:
      – TitleFull: Transmit antenna selection in M-MIMO system using metaheuristic aided model.
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            NameFull: Singh, Charanjeet
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            NameFull: Singh, Pawan Kumar
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            – D: 01
              M: 03
              Text: 2024
              Type: published
              Y: 2024
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              Value: 30
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            – TitleFull: Journal of High Speed Networks
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