A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

IEEE Communications Surveys and Tutorials

Volumn 19, Issue 4, 2017, Pages 2392-2431

  Klaine, Paulo Valente ^a   Imran, Muhammad Ali ^a   Onireti, Oluwakayode ^a   Souza, Richard Demo ^b  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

5G; cellular networks; Machine learning; self organizing networks

Indexed keywords

5G MOBILE COMMUNICATION SYSTEMS; ARTIFICIAL INTELLIGENCE; CELLULAR TELEPHONE SYSTEMS; LEARNING SYSTEMS; MOBILE COMPUTING; MONITORING; OPTIMIZATION; SURVEYS; WIRELESS NETWORKS;

CELLULAR NETWORK; CURRENT LIMITATION; FUTURE RESEARCH DIRECTIONS; INTELLIGENT ALGORITHMS; MACHINE LEARNING TECHNIQUES; MOBILE COMMUNICATIONS; SELF ORGANIZING NETWORK (SON); SELF-ORGANIZING NETWORK;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 85028868655     PISSN: None     EISSN: 1553877X     Source Type: Journal    
DOI: 10.1109/COMST.2017.2727878     Document Type: Review

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