A Deep Learning Approach for Maximum Activity Links in D2D Communications
A Deep Learning Approach for Maximum Activity Links in D2D Communications
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Mobile cellular communications are experiencing an exponential growth in traffic load on Long Term Evolution (LTE) eNode B (eNB) components. Such load can be significantly contained by directly sharing content among nearby users through device-to-device (D2D) communications, so that repeated downloads of the same data can be avoided as much as poss...
Alternative Titles
Full title
A Deep Learning Approach for Maximum Activity Links in D2D Communications
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TN_cdi_doaj_primary_oai_doaj_org_article_2ffbdd6e54d841b0aa794b7211e81df2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ffbdd6e54d841b0aa794b7211e81df2
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s19132941
