Verizon Patent and Licensing Inc.

John F Moore

Andrew F Patka

Karthik Ramaswamy

Yann Sendra

Charles Andrew Beltran

Stephen C Opferman

Ronald Carloni

Michael T D'Agostino

Arun Cherla

A device may receive network data identifying an SINR, an RSSI, congestion, and throughput associated with a RAN, device data identifying latency and packet loss associated with the RAN, and an issue inference confidence score associated with a machine learning model. The device may process the network data, the device data, and the issue inference confidence score, with a model, to determine one or more issues. The device may adjust TTI bundling to generate adjusted TTI bundling, may lower a QCI or a QFI and adjust associated parameters to generate QCI/QFI adjusted parameters, may adjust slice parameters to generate adjusted slice parameters, or may adjust DRX parameters to generate adjusted DRX parameters based on the one or more issues with the RAN. The device may cause the adjusted TTI bundling, the QCI/QFI adjusted parameters, the adjusted slice parameters, or the adjusted DRX parameters to be implemented by the RAN.

Systems and methods for identifying and correcting issues associated with a wireless network

One or more computing devices, systems, and/or methods for latency evaluation and management resolution are provided. A fingerprint for traffic flow over a communication network from an application executing on a device to a multi-access edge (MEC) server instance hosted by a MEC platform may be identified. The fingerprint may be used to track the traffic flow between the application and the MEC server in order to measure round trip time latencies of the traffic flow. In response to a round trip time latency violating a latency management policy, segment latencies along segments of a communication travel path of the traffic flow from the device to the MEC platform may be measured. A management resolution function may be performed based upon one or more of the segment latencies exceeding a threshold.

Latency evaluation and management resolution

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Roanoke, TX, United States of America

John F Moore