Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks
Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Device-to-device (D2D) communication is a promising paradigm for the fifth generation (5G) and beyond 5G (B5G) networks. Although D2D communication provides several benefits, including limited interference, energy efficiency, reduced delay, and network overhead, it faces a lot of technical challenges such as network architecture, and neighbor disco...
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Full title
Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks
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TN_cdi_proquest_journals_2478865897
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2478865897
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics10020169
