US 12,764,570 B2Granted

Assessing cellular base station performance

AssigneeRakuten Symphony, Inc.

InventorsGhaith Abu-Suleiman, KrishnaKumar Gopalan Kesavan

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Abstract

The present invention extends to methods, systems, and computer program products for assessing cell base station performance. In one aspect, an intelligent quantitative performance index is used for assessing cell base station performance. Assessing cellular base station performance can include identifying underperforming cellular base stations and predicting cellular base station performance. Artificial Intelligence (AI) can be utilized to identify performance similarities among geographically segregated cellular base stations. AI can be used to derive dynamic scores adapting to different cellular traffic patterns and using smart thresholds. AI models can consider time of a metric degradation for impacting scores/indexes. Aspects can be used to help network operations teams maintain cellular networks and provide upper management a quantitative view of cellular network performance.

Claims20

Dependent claims

A computer implemented method comprising:

accessing a plurality of operational parameters of a first cellular base station in a cellular network, the plurality of operational parameters comprising one or more characteristics and one or more conditions;
identifying, using a trained artificial intelligence (AI) model, a plurality of similarly situated cellular base stations connected to the cellular network, the plurality of similarly situated cellular base stations having operational parameters similar to the plurality of operational parameters of the first cellular base station;
accessing a plurality of previously derived cellular base station performance scores, including accessing a previously derived cellular base station performance score for each of the plurality of similarly situated cellular base stations the plurality of previously derived cellular base station performance scores including a previously derived cellular base station performance score corresponding to the first cellular base station and one or more other previously derived cellular base station performance scores;
comparing the plurality of previously derived cellular base station performance scores to one another;
calculating that the previously derived cellular base station performance score varies by more than a specified threshold from the one or more other previously derived cellular base station performance scores;
and
determining that the first cellular base station is not delivering optimum performance based at least on the previously derived cellular base station performance score varying by more than the specified threshold from the one or more other previously derived cellular base station performance scores.

4 more elements

A computer implemented method comprising:

detecting that a first cellular base station has been added to cellular network;
accessing a plurality of operational parameters of the cellular base station, the plurality of operational parameters comprising one or more characteristics and one or more conditions;
identifying, using a trained artificial intelligence (AI) model, one or more similarly situated cellular base stations connected to the cellular network, the one or more similarly situated cellular base stations having operational parameters similar to the plurality of operational parameters of the first cellular base station;
accessing one or more previously derived performance scores, including accessing a previously derived performance score for each of the one or more similarly situated cellular base stations;
deriving, using the trained AI model, a current performance score for the first cellular base station based on the plurality of operational parameters of the first cellular base station;
and
predicting performance of the first cellular base station on the cellular network based at least on the current performance score.

4 more elements

Dependencies are inferred from the claim text.