Machine learning-based approaches for user association and access point selection in heterogeneous fixed wireless networks.

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Title: Machine learning-based approaches for user association and access point selection in heterogeneous fixed wireless networks.
Authors: El Khaled, Zayan1, zayan.el-khaled1@uqac.ca, Mcheick, Hamid1, Ajib, Wessam2
Source: Wireless Networks (10220038); Nov2022, Vol. 28 Issue 8, p3503-3524, 22p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 159838873
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  Data: <searchLink fieldCode="JN" term="%22Wireless+Networks+%2810220038%29%22">Wireless Networks (10220038)</searchLink>; Nov2022, Vol. 28 Issue 8, p3503-3524, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159838873
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11276-022-03053-2
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 3503
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      – TitleFull: Machine learning-based approaches for user association and access point selection in heterogeneous fixed wireless networks.
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            NameFull: El Khaled, Zayan
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            NameFull: Mcheick, Hamid
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            NameFull: Ajib, Wessam
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            – D: 01
              M: 11
              Text: Nov2022
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              Y: 2022
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              Value: 28
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            – TitleFull: Wireless Networks (10220038)
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