A learning-based approach for autonomous outage detection and coverage optimization

Transactions on Emerging Telecommunications Technologies

Volumn 27, Issue 3, 2016, Pages 439-450

  Zoha, Ahmed ^a   Saeed, Arsalan ^b   Imran, Ali ^c   Imran, Muhammad Ali ^b   Abu Dayya, Adnan ^a  

^a QATAR MOBILITY INNOVATIONS CENTER QMIC   (Qatar)

^b UNIVERSITY OF SURREY   (United Kingdom)

^c UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CELLS; COMPLEX NETWORKS; CYTOLOGY; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOLECULAR BIOLOGY; QUALITY OF SERVICE; REINFORCEMENT LEARNING; TELECOMMUNICATION NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

CELL OUTAGE COMPENSATIONS; COMPENSATION FUNCTIONS; COVERAGE OPTIMIZATIONS; LEARNING-BASED APPROACH; MINIMIZATION OF DRIVE TESTS; OPERATION AND MAINTENANCE; SELF-HEALING RECOVERIES; STATE-OF-THE-ART MACHINE LEARNING METHODS;

OUTAGES;

EID: 84959558959     PISSN: 21615748     EISSN: 21613915     Source Type: Journal    
DOI: 10.1002/ett.2971     Document Type: Article

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