Vmware, Inc.

Uhana, Inc.

Sarabjot Singh

Srikanth Hariharan

Adnan Raja

Manu Sharma

Aditya Gudipati

Alexandros Anemogiannis

Rakesh Misra

Manu Bansal

Deepak Khurana

Duyen Riggs

Kanthi Nagaraj

A system can include a network analysis platform that applies performance models to determine if a coverage degradation exists at a network 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 quality of service ('QoS') metric can be compared to an actual QoS metric to determine whether the session is impacted by coverage degradation. Throughput is an example QoS metric. 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.

Service aware coverage degradation detection and root cause identification

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

Examples herein describe systems and methods for Physical Uplink Control Channel (PUCCH) reallocation. Interference can be detected on a Physical Resource Block (PRB) corresponding to a time-frequency unit of a resource allocated to PUCCH by a base station. The impact the interference has on a subscriber service can be quantified. The quantified services impact can be compared to a threshold. Upon determining that the service impact exceeds the threshold, PRBs of other resources on the base station can be analyzed. The analysis can predict how reallocating the other resources to PUCCH can improve the quality of the subscriber service. One of the other resources can be selected, and instructions can be provided to reallocate the selected resource to PUCCH.

System for dynamic PUCCH reallocation

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 an evaluation platform that applies models to improve the quality of experience of users impacted by uplink interference at a network cell, such as at a base station. For a user session at a cell, an expected performance with optimized uplink interference can be compared to an actual performance to determine whether the session is impacted. This can include iteratively increasing a hypothetical power parameter and determining uplink interference based on source and neighboring cells. When positively impacted sessions exceed a threshold, the platform can dynamically change the power parameter of the base station to reflect the hypothetical value.

Service aware closed loop uplink power control optimization

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

Sarabjot Singh