Data-driven analytics for automated cell outage detection in Self-Organizing Networks

2015 11th International Conference on the Design of Reliable Communication Networks, DRCN 2015

Volumn , Issue , 2015, Pages 203-210

  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

Anomaly Detection; Cell Outages; Low Dimensional Embedding; LTE; MDT; Self Organizing Networks; Sleeping Cell

Indexed keywords

ANOMALY DETECTION; CELLS; CYTOLOGY; DIGITAL STORAGE; LEARNING ALGORITHMS; MACHINE LEARNING; MOBILE TELECOMMUNICATION SYSTEMS;

LOW DIMENSIONAL EMBEDDING; MINIMIZATION OF DRIVE TESTS; MULTI-DIMENSIONAL SCALING METHODS; OPERATION AND MAINTENANCE; SELF ORGANIZING NETWORK (SON); SELF-HEALING RECOVERIES; SELF-ORGANIZING NETWORK; THIRD GENERATION PARTNERSHIP PROJECT (3GPP);

MOLECULAR BIOLOGY;

EID: 84944080900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DRCN.2015.7149014     Document Type: Conference Paper

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