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Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schem...

Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schem...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2932367585

Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control

About this item

Full title

Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control

Publisher

Hershey: IGI Global

Journal title

International journal of mobile computing and multimedia communications, 2021-04, Vol.12 (2), p.18-35

Language

English

Formats

Publication information

Publisher

Hershey: IGI Global

More information

Scope and Contents

Contents

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 a...

Alternative Titles

Full title

Application of Fuzzy Logic for Slice QoS in 5G Networks: A Comparison Study of Two Fuzzy-Based Schemes for Admission Control

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2932367585

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2932367585

Other Identifiers

ISSN

1937-9412

E-ISSN

1937-9404

DOI

10.4018/IJMCMC.2021040102

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