Machine learning-driven analysis of user bandwidth allocation and performance in 5G heterogeneous network: a survey.

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Title: Machine learning-driven analysis of user bandwidth allocation and performance in 5G heterogeneous network: a survey.
Authors: Leong, Pang Wai1, waileong.pang@taylors.edu.my, Chia, Raymond1, raymondchenjet.chia@sd.taylors.edu.my, King, Phang Swee1, sweeking.phang@taylors.edu.my, Hwang, Goh Hui1, jonathan.goh@taylors.edu.my, Yoong, Chan Kah2, kychan@mmu.edu.my, Chin, Chung Gwo2, gcchung@mmu.edu.my
Source: International Journal of Electrical & Computer Engineering (2088-8708); Jun2026, Vol. 16 Issue 3, p1236-1248, 13p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: Machine learning-driven analysis of user bandwidth allocation and performance in 5G heterogeneous network: a survey.
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  Data: <searchLink fieldCode="AU" term="%22Leong%2C+Pang+Wai%22">Leong, Pang Wai</searchLink><relatesTo>1</relatesTo>, <i>waileong.pang@taylors.edu.my</i><br /><searchLink fieldCode="AU" term="%22Chia%2C+Raymond%22">Chia, Raymond</searchLink><relatesTo>1</relatesTo>, <i>raymondchenjet.chia@sd.taylors.edu.my</i><br /><searchLink fieldCode="AU" term="%22King%2C+Phang+Swee%22">King, Phang Swee</searchLink><relatesTo>1</relatesTo>, <i>sweeking.phang@taylors.edu.my</i><br /><searchLink fieldCode="AU" term="%22Hwang%2C+Goh+Hui%22">Hwang, Goh Hui</searchLink><relatesTo>1</relatesTo>, <i>jonathan.goh@taylors.edu.my</i><br /><searchLink fieldCode="AU" term="%22Yoong%2C+Chan+Kah%22">Yoong, Chan Kah</searchLink><relatesTo>2</relatesTo>, <i>kychan@mmu.edu.my</i><br /><searchLink fieldCode="AU" term="%22Chin%2C+Chung+Gwo%22">Chin, Chung Gwo</searchLink><relatesTo>2</relatesTo>, <i>gcchung@mmu.edu.my</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>; Jun2026, Vol. 16 Issue 3, p1236-1248, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194285613
RecordInfo BibRecord:
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        Value: 10.11591/ijece.v16i3.pp1236-1248
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 1236
    Titles:
      – TitleFull: Machine learning-driven analysis of user bandwidth allocation and performance in 5G heterogeneous network: a survey.
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            NameFull: Leong, Pang Wai
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            NameFull: Chia, Raymond
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            NameFull: King, Phang Swee
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            NameFull: Hwang, Goh Hui
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            NameFull: Yoong, Chan Kah
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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