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Performance analysis of alternating minimization based low complexity detection for MIMO communication system.

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Title: Performance analysis of alternating minimization based low complexity detection for MIMO communication system.
Authors: M., Kasiselvanathan1 (AUTHOR) drkasiselvanathanvkm@gmail.com, Rajagopal, Manikandan2 (AUTHOR), V. V., Teresa3 (AUTHOR), Krishnan, Prabhakar4 (AUTHOR)
Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications. Dec2023, Vol. 64 Issue 4, p748-755. 8p.
Subjects: MIMO systems, Continuous phase modulation, Wireless communications performance, Additive white Gaussian noise, Quadrature amplitude modulation, Telecommunication systems, Bit error rate
Abstract: Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channel's AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods. [ABSTRACT FROM AUTHOR]
Copyright of Automatika: Journal for Control, Measurement, Electronics, Computing & Communications is the property of Taylor & Francis Ltd 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: Performance analysis of alternating minimization based low complexity detection for MIMO communication system.
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  Data: <searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Continuous+phase+modulation%22">Continuous phase modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications+performance%22">Wireless communications performance</searchLink><br /><searchLink fieldCode="DE" term="%22Additive+white+Gaussian+noise%22">Additive white Gaussian noise</searchLink><br /><searchLink fieldCode="DE" term="%22Quadrature+amplitude+modulation%22">Quadrature amplitude modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Bit+error+rate%22">Bit error rate</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Several antennas are used for sending and receiving in large MIMO (Multiple-Input-Multiple-Output) devices and assist in enhanced performances of wireless communication systems. One important component of Large MIMO systems is that MIMO detectors are placed at receiver ends, whose functions are to regain symbols broadcasts from multiple antennas. In this paper, novelAMLCD (Alternating Minimizationbased Low Complexity Detections) method is proposed in which AMs (Alternating Minimizations) are applied in initial stages to detect signals. Soft value generation is used for the second stage to estimate the signals. Finally, the more optimal estimated signal value will be chosen by applying the MPSOs (Modified Particle Swarm Optimizations). The system's functions are evaluated using CPMs (Continuous Phase Modulations) and channel's AWGNs (Additive White Gaussian Noises). According to the results obtained, the suggested AMLCD method with modulations of CPMs outperform known methods using QAMs (Quadrature Amplitude Modulations) under multiple antennas in terms of BERs (Bit Error Rates). The AMLCD method also reduces the time complexity and computational complexity compared to the existing methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Automatika: Journal for Control, Measurement, Electronics, Computing & Communications is the property of Taylor & Francis Ltd 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:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00051144.2023.2209416
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 748
    Subjects:
      – SubjectFull: MIMO systems
        Type: general
      – SubjectFull: Continuous phase modulation
        Type: general
      – SubjectFull: Wireless communications performance
        Type: general
      – SubjectFull: Additive white Gaussian noise
        Type: general
      – SubjectFull: Quadrature amplitude modulation
        Type: general
      – SubjectFull: Telecommunication systems
        Type: general
      – SubjectFull: Bit error rate
        Type: general
    Titles:
      – TitleFull: Performance analysis of alternating minimization based low complexity detection for MIMO communication system.
        Type: main
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          Name:
            NameFull: M., Kasiselvanathan
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            NameFull: Rajagopal, Manikandan
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            NameFull: V. V., Teresa
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            NameFull: Krishnan, Prabhakar
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          Dates:
            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
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            – TitleFull: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications
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