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A Deep Contextual Bandit-Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources.

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Bibliographic Details
Title: A Deep Contextual Bandit-Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources.
Authors: Dayot, Ralph Voltaire J.1, ralphdayot@kunsan.ac.kr, Ra, In-Ho1, ihra@kunsan.ac.kr, Kim, Hyung-Jin2, kim@jbnu.ac.kr
Source: Network (2673-8732); Sep2022, Vol. 2 Issue 3, p370-388, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159340480
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Deep Contextual Bandit-Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources.
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    Identifiers:
      – Type: doi
        Value: 10.3390/network2030023
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 370
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      – TitleFull: A Deep Contextual Bandit-Based End-to-End Slice Provisioning Approach for Efficient Allocation of 5G Network Resources.
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            NameFull: Dayot, Ralph Voltaire J.
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            NameFull: Ra, In-Ho
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            NameFull: Kim, Hyung-Jin
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              M: 09
              Text: Sep2022
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              Y: 2022
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