Intelligent resource allocation technique for 5G NR self-organizing networks via self-improved lyrebird optimization algorithm.

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Title: Intelligent resource allocation technique for 5G NR self-organizing networks via self-improved lyrebird optimization algorithm.
Authors: Sharma, Jyoti1, RS200010090108@gjust.org, Noliya, Amandeep2, noliyaaman@gjust.org, Kumar, Dharmender2, Dharmender@gjust.org, Kumar, Kulbir1, RS210010090105@gjust.org
Source: Cluster Computing; Jul2026, Vol. 29 Issue 7, p1-19, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194935933
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Intelligent resource allocation technique for 5G NR self-organizing networks via self-improved lyrebird optimization algorithm.
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  Data: <searchLink fieldCode="AU" term="%22Sharma%2C+Jyoti%22">Sharma, Jyoti</searchLink><relatesTo>1</relatesTo>, <i>RS200010090108@gjust.org</i><br /><searchLink fieldCode="AU" term="%22Noliya%2C+Amandeep%22">Noliya, Amandeep</searchLink><relatesTo>2</relatesTo>, <i>noliyaaman@gjust.org</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Dharmender%22">Kumar, Dharmender</searchLink><relatesTo>2</relatesTo>, <i>Dharmender@gjust.org</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Kulbir%22">Kumar, Kulbir</searchLink><relatesTo>1</relatesTo>, <i>RS210010090105@gjust.org</i>
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  Data: <searchLink fieldCode="JN" term="%22Cluster+Computing%22">Cluster Computing</searchLink>; Jul2026, Vol. 29 Issue 7, p1-19, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194935933
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10586-026-06041-9
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      – Code: eng
        Text: English
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      – TitleFull: Intelligent resource allocation technique for 5G NR self-organizing networks via self-improved lyrebird optimization algorithm.
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            NameFull: Sharma, Jyoti
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            NameFull: Noliya, Amandeep
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            NameFull: Kumar, Dharmender
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              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 29
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