Performance analysis of MIMO-OFDM-UWA communication system in a multi-user detection environment.

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Title: Performance analysis of MIMO-OFDM-UWA communication system in a multi-user detection environment.
Authors: PRASAD, KUMAR DEBI1 (AUTHOR) debiprasad.srm@gmail.com, KHAN, MD RIZWAN2 (AUTHOR) write2rizwan.786@gmail.com, DAS, BIKRAMADITYA1,3 (AUTHOR) adibik09@gmail.com
Source: Sādhanā: Academy Proceedings in Engineering Sciences. Jun2025, Vol. 50 Issue 2, p1-18. 18p.
Subjects: Orthogonal frequency division multiplexing, Acoustical engineering, Telecommunication systems, Telecommunication, Ocean waves, Wind speed
Abstract: High-speed with quality of transmission is the requirement for upcoming underwater acoustic (UWA) communication, which is fulfilled using multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system. But multi-access interference (MAI), due to co-channel users, degrades the capacity and quality of MIMO-OFDM-UWA communication system. Therefore, multi-user detection (MUD) is needed in MIMO-OFDM-UWA communication system. In this research, weighted sequential parallel interference cancellation (SPIC) technique is applied between 100 Hz and 100 kHz frequency region to achieve MUD in MIMO-OFDM-UWA communication system. The UWA communication system is modeled using Kraken Underwater Simulation System. From individual subcarriers, weighted SPIC technique suppresses the MAI with estimation and elimination and also suppresses the sea state noise resulting from waves due to wind which is dominant between 100 Hz and 100 kHz. Simulations show that the proposed technique gives better performance both in bit error rate and average signal to interference ratio analysis over conventional SPIC and MF detector by considering the wind speed at 3.32 m/sec and 5.92 m/sec with noise frequencies which are at 2000 Hz, 5000 Hz, and 8000 Hz in an UWA network. [ABSTRACT FROM AUTHOR]
Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature 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 MIMO-OFDM-UWA communication system in a multi-user detection environment.
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  Data: <searchLink fieldCode="JN" term="%22Sādhanā%3A+Academy+Proceedings+in+Engineering+Sciences%22">Sādhanā: Academy Proceedings in Engineering Sciences</searchLink>. Jun2025, Vol. 50 Issue 2, p1-18. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Orthogonal+frequency+division+multiplexing%22">Orthogonal frequency division multiplexing</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustical+engineering%22">Acoustical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication%22">Telecommunication</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+waves%22">Ocean waves</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink>
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  Label: Abstract
  Group: Ab
  Data: High-speed with quality of transmission is the requirement for upcoming underwater acoustic (UWA) communication, which is fulfilled using multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system. But multi-access interference (MAI), due to co-channel users, degrades the capacity and quality of MIMO-OFDM-UWA communication system. Therefore, multi-user detection (MUD) is needed in MIMO-OFDM-UWA communication system. In this research, weighted sequential parallel interference cancellation (SPIC) technique is applied between 100 Hz and 100 kHz frequency region to achieve MUD in MIMO-OFDM-UWA communication system. The UWA communication system is modeled using Kraken Underwater Simulation System. From individual subcarriers, weighted SPIC technique suppresses the MAI with estimation and elimination and also suppresses the sea state noise resulting from waves due to wind which is dominant between 100 Hz and 100 kHz. Simulations show that the proposed technique gives better performance both in bit error rate and average signal to interference ratio analysis over conventional SPIC and MF detector by considering the wind speed at 3.32 m/sec and 5.92 m/sec with noise frequencies which are at 2000 Hz, 5000 Hz, and 8000 Hz in an UWA network. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature 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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        Value: 10.1007/s12046-025-02721-1
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        Text: English
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      – SubjectFull: Orthogonal frequency division multiplexing
        Type: general
      – SubjectFull: Acoustical engineering
        Type: general
      – SubjectFull: Telecommunication systems
        Type: general
      – SubjectFull: Telecommunication
        Type: general
      – SubjectFull: Ocean waves
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      – SubjectFull: Wind speed
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      – TitleFull: Performance analysis of MIMO-OFDM-UWA communication system in a multi-user detection environment.
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            NameFull: PRASAD, KUMAR DEBI
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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