Power Aware Dynamic Spectrum Assignment for 6G Wireless Systems.

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Title: Power Aware Dynamic Spectrum Assignment for 6G Wireless Systems.
Authors: Iyer, Sridhar1 (AUTHOR) sridhariyer1983@klescet.ac.in, Patil, Anita2 (AUTHOR) anitap@sgbit.edu.in
Source: IETE Journal of Research. Sep2025, Vol. 71 Issue 9, p2921-2930. 10p.
Subjects: Dynamic spectrum access, Cognitive radio, 6G networks, Spectrum allocation, Submillimeter waves, Radio frequency allocation
Geographic Terms: India
Abstract: In the present paper, power aware dynamic spectrum assignment techniques are proposed, which aim to achieve high spectrum utilization by allocating the experimental licensed 95 GHz Tera-Hertz (THz) spectrum to primary mobile service providers (p-MSPs) of a nation (i.e. India). The proposed techniques (i) consider cognitive radio-based spectrum access/assignment (SA) methods, viz., interweave SA (IW-SA) and underlay SA (UL-SA) individually and in a combined manner (IW-UL-SA), (ii) evaluate the optimal spectrum amount needed by every p-MSP and (iii) use p-MSPs to control the transmission power of small cells of the buildings/homes of every MSP over the entire nation. Extensive simulation experiments are conducted to evaluate the performance of the proposed methods considering various metrics. The obtained results show that the proposed methods outperform the static spectrum assignment (SSAs) method, and among the proposed methods, IW-UL-SA outperforms IW-SA and UL-SA irrespective of the considered performance metric. Specifically, compared to when IW-SA and UL-SA are implemented, IW-UL-SA improves the mean capacity, spectral efficiency (SE), and mean system throughput by approximately "1.7" and "1.5", respectively, and energy-efficiency (EE), and cost-efficiency by approximately 64.5% and 64%, respectively. Further, the results also show that the proposed techniques meet the SE and EE needs of 6G wireless systems since compared to SSAs, IW-UL-SA, IW-SA and UL-SA use approximately 16.66%, 33.33% and 33.33% lesser number of buildings/homes of the small cells, respectively. [ABSTRACT FROM AUTHOR]
Copyright of IETE Journal of Research 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: Power Aware Dynamic Spectrum Assignment for 6G Wireless Systems.
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  Data: <searchLink fieldCode="AR" term="%22Iyer%2C+Sridhar%22">Iyer, Sridhar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sridhariyer1983@klescet.ac.in</i><br /><searchLink fieldCode="AR" term="%22Patil%2C+Anita%22">Patil, Anita</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> anitap@sgbit.edu.in</i>
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  Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>. Sep2025, Vol. 71 Issue 9, p2921-2930. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Dynamic+spectrum+access%22">Dynamic spectrum access</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+radio%22">Cognitive radio</searchLink><br /><searchLink fieldCode="DE" term="%226G+networks%22">6G networks</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+allocation%22">Spectrum allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Submillimeter+waves%22">Submillimeter waves</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+frequency+allocation%22">Radio frequency allocation</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In the present paper, power aware dynamic spectrum assignment techniques are proposed, which aim to achieve high spectrum utilization by allocating the experimental licensed 95 GHz Tera-Hertz (THz) spectrum to primary mobile service providers (p-MSPs) of a nation (i.e. India). The proposed techniques (i) consider cognitive radio-based spectrum access/assignment (SA) methods, viz., interweave SA (IW-SA) and underlay SA (UL-SA) individually and in a combined manner (IW-UL-SA), (ii) evaluate the optimal spectrum amount needed by every p-MSP and (iii) use p-MSPs to control the transmission power of small cells of the buildings/homes of every MSP over the entire nation. Extensive simulation experiments are conducted to evaluate the performance of the proposed methods considering various metrics. The obtained results show that the proposed methods outperform the static spectrum assignment (SSAs) method, and among the proposed methods, IW-UL-SA outperforms IW-SA and UL-SA irrespective of the considered performance metric. Specifically, compared to when IW-SA and UL-SA are implemented, IW-UL-SA improves the mean capacity, spectral efficiency (SE), and mean system throughput by approximately "1.7" and "1.5", respectively, and energy-efficiency (EE), and cost-efficiency by approximately 64.5% and 64%, respectively. Further, the results also show that the proposed techniques meet the SE and EE needs of 6G wireless systems since compared to SSAs, IW-UL-SA, IW-SA and UL-SA use approximately 16.66%, 33.33% and 33.33% lesser number of buildings/homes of the small cells, respectively. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of IETE Journal of Research 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:
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    Identifiers:
      – Type: doi
        Value: 10.1080/03772063.2025.2503345
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 2921
    Subjects:
      – SubjectFull: Dynamic spectrum access
        Type: general
      – SubjectFull: Cognitive radio
        Type: general
      – SubjectFull: 6G networks
        Type: general
      – SubjectFull: Spectrum allocation
        Type: general
      – SubjectFull: Submillimeter waves
        Type: general
      – SubjectFull: Radio frequency allocation
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: Power Aware Dynamic Spectrum Assignment for 6G Wireless Systems.
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            NameFull: Iyer, Sridhar
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            NameFull: Patil, Anita
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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