Verizon Patent and Licensing Inc.

Massimiliano Troiani

Parry Cornell Booker

Miguel Angel Carames

David Taft

Art Zaifman

Lap Tse

Amanda C Lam

Jayashree Srinivasan Kilkovalavedu

A device may receive, from a user equipment (UE), a request for an application, and may receive, from the UE, parameters of the application and key performance indicator (KPI) targets for the application. The device may receive, based on the request, KPIs from a core network, a mobile edge computing (MEC) device, and an application server, and may compare the KPIs and the KPI targets for the application. The device may determine, based on comparing the KPIs and the KPI targets, whether to utilize the MEC device or the application server for providing the application to the UE. The device may selectively identify a first user plane function (UPF) associated with the MEC device based on determining to utilize the MEC device, or may identify a second UPF associated with the application server based on determining to utilize the application server.

Systems and methods for providing application and subscription aware user plane function selection, steering, and anchoring

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.

Systems and methods for determining, monitoring, and predicting application capacity in multiple radio access networks

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Frisco, TX, United States of America

Massimiliano Troiani