Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kallumpurath, Anwin; Srivastava, Devesh; Nersu, Naveen; and Suthar, Prakash, "INTUITIVE MASS EVENT PREDICTOR", Technical Disclosure Commons, (September 20, 2019)
https://www.tdcommons.org/dpubs_series/2508
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