Presented herein are techniques to learn mass event characteristics using time series data from existing mobile network functions/elements. The techniques presented herein also proactively identify overloaded cells at the underlying network traffic monitoring layer, during run time, based on the associated abnormal execution patterns.
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Kallumpurath, Anwin; Srivastava, Devesh; Nersu, Naveen; and Suthar, Prakash, "INTUITIVE MASS EVENT PREDICTOR", Technical Disclosure Commons, (September 20, 2019)