At&t Intellectual Property I, LP

At&t Mobility II LLC

Hyun Ok Lee

Baofeng Jiang

Ernest Tsui

Vibhav Arun Kapnadak

Fereidoun Tafreshi

Xiaojun Tang

Gustavo Enrique Ulffe Whu

Mehdi Malboubi

Weihua Ye

Slawomir Mikolaj Stawiarski

Ravi Raina

Gopalakrishnan Meempat

Huahui Wang

Yu Liu

Huijing Yang

Yuhong Zheng

Dongho Kim

Senthil Raj Dhandapani

Ke Xu

Kemal Kara

Concepts and technologies are disclosed herein for using user equipment data clusters and spatial temporal graphs of abnormalities for root cause analysis. User equipment data can be obtained from a cellular network. A filter having a threshold can be applied to the user equipment data to obtain records. A determination is made whether the threshold is to be adaptively adjusted. If a determination is made that the threshold is not to be adjusted, the records can be added to a record set. The records in the subset of records can be correlated based on a key to obtain a filtered and correlated version of the record set, a spatial temporal graph of abnormalities associated with the cellular network can be generated based on the filtered and correlated version of the record set, and a root cause of a failure can be determined based on the spatial temporal graph of abnormalities.

Using user equipment data clusters and spatial temporal graphs of abnormalities for root cause analysis

A processing system may apply a binary classifier to detect whether a first data pattern of a first data source associated with a communication network performance indicator is consistent with prior data patterns of the first data source that are labeled as correct data patterns, determine, via the binary classifier, that the first data pattern is not consistent, apply a clustering model to a first input data set comprising the first data pattern and invalid data patterns of the first data source to obtain a first plurality of clusters, verify that the first data pattern is an invalid data pattern when the first plurality of clusters is the same as a second plurality of clusters generated by applying the clustering model to a second input data set comprising the invalid data patterns, and replace the first data source with a replacement data source as an active data source in response.

Communication network data fault detection and mitigation

The end-to-end troubleshooting system may use machine learning models to predict the network quality degradation and provide resolution recommendations. The end-to-end troubleshooting system may be a self-evolving closed loop system that helps monitor the network health, provide real-time prediction of network health, and anticipate potential network outages. This intelligent system may provide recommendation resolutions based on the analysis of prediction results.

End to end troubleshooting of mobility services

Concepts and technologies are disclosed herein for using user equipment data clusters and spatial temporal graphs of abnormalities for root cause analysis. User equipment data can be obtained from a cellular network. A filter having a threshold can be applied to the user equipment data to obtain a records. A determination is made whether the threshold is to be adaptively adjusted. If a determination is made that the threshold is not to be adjusted, the records can be added to a record set. The records in the subset of records can be correlated based on a key to obtain a filtered and correlated version of the record set, a spatial temporal graph of abnormalities associated with the cellular network can be generated based on the filtered and correlated version of the record set, and a root cause of a failure can be determined based on the spatial temporal graph of abnormalities.

The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Adaptive automated load balancing for mobility networks including fifth generation networks and beyond

Cluster-based optimization of antenna tilts in a wireless network and other related aspects are presented herein. A screening component can receive information indicating wireless conditions of respective wireless access points of a geographical region, select, based on a performance criterion, an access point of the respective wireless access points, and group the access point and an other access point of the respective wireless access points into a representation of a cluster of access points. Further, an optimization component can derive antenna tilt values for respective access points of the cluster of the access points in response to a simulation of an application of the antenna tilt values to the respective access points. Furthermore, an implementation component can direct the antenna tilt values to respective components of the respective access points.

Cluster-based derivation of antenna tilts in a wireless network

Systems, methods, and apparatus for cluster-based optimization of antenna tilts in a wireless network are presented herein. A screening component can receive information indicating wireless conditions of respective wireless access points of a geographical region, select, based on a performance criterion, an access point of the respective wireless access points, and group the access point and an other access point of the respective wireless access points into a representation of a cluster of access points. Further, an optimization component can derive antenna tilt values for respective access points of the cluster of the access points in response to a simulation of an application of the antenna tilt values to the respective access points. Furthermore, an implementation component can direct the antenna tilt values to respective components of the respective access points.

Growing community of inventors

San Ramon, CA, United States of America

Hyun Ok Lee