US 10,834,610 B2Granted

Managing LTE network capacity

AssigneeT-Mobile USA, Inc.

InventorsOtto Fonseca Escudero, Gary Dousson, Marie Grace Jacinto, Khrum Kashan Jat, Jatinder Singh Sandhu

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Abstract

Systems and methods are described for monitoring performance and allocating resources to improve the performance of a wireless telecommunications network. A wireless telecommunications network may be comprised of base stations and other infrastructure equipment, which may be sourced from various suppliers. Users may generate traffic on the wireless network, and performance metrics relating to the user experience may be collected from individual base stations. The set of available metrics for a particular base station may vary according to the supplier. A machine learning model is thus trained using metrics from multiple base stations, and used to estimate values for metrics that a particular base station does not provide. The metrics are then further characterized according to the service classes of the users, and resources for improving the performance of base stations are allocated according to the reported and estimated metrics for various service classes.

Claims24

Dependent claims

A computer-implemented method comprising:

obtaining a set of metrics collected by a first base station of a plurality of base stations, wherein the set of metrics includes a first metric and a second metric, wherein the first base station does not collect a third metric that is collected by at least one other base station of the plurality of base stations, and wherein the set of metrics is associated with a time period;
calculating, based at least in part on the first metric, the second metric, and a machine learning model trained with metrics collected by the plurality of base stations, the third metric for the first base station during the time period, wherein the third metric quantifies user experiences of low data throughput;
obtaining application data usage information for a plurality of users;
identifying, based at least in part on the application data usage information, a first subset of the plurality of users, wherein the application data usage information indicates that individual users in the first subset experienced low data throughput at the first base station during the time period, and wherein the individual users in the first subset are associated with a first service class;
determining, based at least in part on a size of the first subset, an estimated value of the third metric for the first service class;
generating for display a user interface, the user interface including information regarding a percentage of users in the first service class who experienced low data throughput at the first base station during the time period;
and
displaying the user interface on a client computing device.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/272,868Filed 11 Feb 2019
Published: US 2020/0260295 A113 Aug 2020
Granted: 10 Nov 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification16 codes

H04L 41/507
Characterised by the interaction between service providers and their network customers, e.g. customer relationship management: filtering out…
H04W 16/22
Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures: traffic simulation…
H04B 17/391
Of propagation channels: modelling the propagation channel
H04L 41/5022
Ensuring fulfilment of SLA: by giving priorities, e.g. assigning classes of service