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Challenges in 5G: how to empower SON with big data for enabling 5G

contributor authorImran, Ali
contributor authorZoha, Ahmed
date accessioned2020-03-13T00:29:50Z
date available2020-03-13T00:29:50Z
date issued2014
identifier issn0890-8044
identifier other6963801.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1148957?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleChallenges in 5G: how to empower SON with big data for enabling 5G
typeJournal Paper
contenttypeMetadata Only
identifier padid8332127
subject keywordsdata analysis
subject keywordslearning (artificial intelligence)
subject keywordsmobile computing
subject keywords5G
subject keywordsOPEX
subject keywordsSON
subject keywordsconcurrent operation
subject keywordsdata analytics tools
subject keywordsdata plane
subject keywordsflexible spectrum allocations
subject keywordsinfrastructure sharing
subject keywordslocalized cache
subject keywordsmachine learning
subject keywordsmedium access control
subject keywordsmobile networks
subject keywordsmultiple frequency bands
subject keywordsnetwork virtualization
subject keywordsoperation complexity
subject keywordsphysical layers
subject keywords5G mobile communication
subject keywordsBig data
subject keywordsComplexity theory
subject keywordsContext modeling
subject keywordsData models
subject keywordsMobile communication
subject keywordsMobile computing
subject keywordsNext generation
identifier doi10.1109/MNET.2014.6963801
journal titleNetwork, IEEE
journal volume28
journal issue6
filesize265796
citations7


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