Verizon Patent and Licensing Inc.

Amanda C Lam

Parry Cornell Booker

Miguel Angel Carames

Art Zaifman

Massimiliano Troiani

Jayashree Srinivasan Kilkovalavedu

A device may receive user device application performance logs, radio access network (RAN) performance logs, and multi-access edge computing (MEC) compute logs, and may train a machine learning model with the user device application performance logs, the RAN performance logs, and the MEC compute logs. The device may identify application capacity requirements and MEC compute requirements associated with images of RAN coverage areas of RANs, and may generate labeled and normalized images of RAN coverage areas. The device may receive real time MEC compute data, RAN performance data, and user device application data, and may identify one of the labeled and normalized images of the RAN coverage areas that matches a RAN coverage area of a particular RAN. The device may predict an application capacity and MEC compute requirements for the particular RAN, and may perform one or more actions based on the application capacity and the MEC compute requirements.

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Aliso Viejo, CA, United States of America

Amanda C Lam