Vmware, Inc.

Uhana, Inc.

Manu Sharma

Srikanth Hariharan

Sarabjot Singh

Adnan Raja

Aditya Gudipati

Rakesh Misra

Alexandros Anemogiannis

Manu Bansal

Rahul Tandra

Deepak Khurana

Duyen Riggs

A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.

Intelligent anomaly detection and root cause analysis in mobile networks

Systems and methods for providing mobile network guidance to applications communicating with devices via a mobile network.

Systems and methods for mobile network guidance for over-the-top applications

A system can include a network analysis platform that applies models to identify downlink interference at a network cell, such as at a base station. For a session at a cell, an expected performance with normalized downlink interference can be compared to an actual performance to determine whether the session is impacted. This can include normalizing channel quality index ('CQI') and negative-acknowledgement ('NACK') rate. Overshooting aggressor cells can be identified as the source of the downlink interference based on a useless overlap fraction exceeding a threshold. The impacted sessions and root causes can be displayed on a graphical user interface (&#x201c;GUI&#x201d;).

Downlink interference detection and identification of aggressor cells

A system can include a network analysis platform that applies performance models to determine if a load imbalance exists at a cell, such as at a base station. The performance models are pre-trained based on network telemetry data. For a session at a cell, an expected load can be compared to an actual load to determine whether the session is impacted by a load imbalance. If the number of impacted sessions exceeds a threshold, the base station can be highlighted on a GUI. Additionally, the network analysis platform can perform root cause analysis of a victim cell based on session handoff analysis to determine how to decrease the imbalance impacts.

Service aware load imbalance detection and root cause identification

Systems and methods for providing information describing mobile network interference experienced by a mobile network.

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Palo Alto, CA, United States of America

Manu Sharma