# US 12,764,570 B2 · Assessing cellular base station performance > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,764,570 B2 - Document ID: US12764570B2 - Status: Granted - Kind: B2 - Application number: 17/921,525 - Filed: 2022-10-19 - Published: 2025-08-07 - Granted: 2026-10-13 - Earliest claimed: 2022-10-19 - Assignees: Rakuten Symphony, Inc. - Applicants: Rakuten Symphony, Inc. - Inventors: Ghaith Abu-Suleiman; KrishnaKumar Gopalan Kesavan - Web page: https://patentgrep.com/patent/US12764570B2 ## CPC - H04W 24/06: Testing, {supervising or monitoring} using simulated traffic - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## 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. ## Claims ### Claim 1 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. ### Claim 2 (depends on 1) The method of claim 1, further comprising: accessing key performance indicators (KPIs) for each of the plurality of similarly situated cellular base stations; accessing counters for each of the plurality of similarly situated cellular base stations; deriving a plurality of cell performance indices including deriving cell performance index for each of the plurality of similarly situated cellular base stations from corresponding KPIs; deriving a plurality of cell health indices including deriving a cell health index for each of the plurality of similarly situated cellular base stations from corresponding counters; deriving the plurality of previously derived cellular base station performance scores from the plurality of cell performance indices and the plurality of cell health indices; and storing the plurality of previously derived cellular base station performance scores in a database. ### Claim 3 (depends on 2) The method of claim 2, wherein accessing the plurality of previously derived cellular base station performance scores comprises accessing the plurality of previously derived cellular base station performance scores from the database. ### Claim 4 (depends on 2) There method of claim 2, wherein accessing KPIs for each of the plurality of similarly situated cellular base stations comprises accessing KPIs corresponding to one or more of: accessibility, retainability, integrity, availability, and mobility of the cellular network. ### Claim 5 (depends on 2) The method of claim 2, wherein accessing the counters for each of the plurality of similarly situated cellular base stations comprises access counters in one or more categories selected from among: access failures, access rejections, usage, throughput, transport, and radio environment. ### Claim 6 (depends on 1) The method of claim 1, wherein accessing the plurality of previously derived cellular base station performance scores comprises accessing a plurality of vectorized scores; and wherein calculating that the previously derived cellular base station performance score varies by more than the specified threshold from the one or more other previously derived cellular base station performance scores comprises using a cosine similarity function. ### Claim 7 (depends on 1) The method of claim 1, wherein the operational parameters of the plurality of similarly situated cellular base stations are within a required similarity to one another due to the plurality of similarly situated cellular base stations being located on similar terrain. ### Claim 8 (depends on 1) The method of claim 1, wherein the operational parameters of the plurality of similarly situated cellular base stations are within a required similarity to one another due to the plurality of similarly situated cellular base stations being positioned at similar heights. ### Claim 9 (depends on 1) The method of claim 1, wherein the operational parameters of the plurality of similarly situated cellular base stations are within a required similarity to one another due to the plurality of similarly situated cellular base stations having similar tilts. ### Claim 10 (depends on 1) The method of claim 1, further comprising evaluating, by the trained AI model, the plurality of operational parameters of the plurality of similarly situated cellular base stations, the plurality of operational parameters including all of locations, heights, base station tilts, antenna databases, antenna azimuth separation, and clutter. ### Claim 11 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. ### Claim 12 (depends on 11) The method of claim 11, further comprising: accessing key performance indicators (KPIs) for each of the one or more similarly situated cellular base stations; accessing counters for each of the one or more similarly situated cellular base stations; deriving one or more cell performance indices including deriving cell performance index for each of the one or more similarly situated cellular base stations from corresponding KPIs; deriving one or more cell health indices including deriving a cell health index for each of the one or more similarly situated cellular base stations from corresponding counters; deriving the one or more previously derived performance scores from the one or more cell performance indices and the one or more cell health indices; and storing the one or more previously derived performance scores in a database. ### Claim 13 (depends on 11) The method of claim 11, further comprising: inputting the plurality of operational parameters of the first cellular base station and the one or more previously derived performance scores into the trained AI model; selecting, using the trained AI model, one or more relevant performance indicators associated with a performance of the first cellular base station based on the inputting; generating, using the trained AI model, a threshold associated with each of the one or more relevant performance indicators based on the one or more previously derived performance scores; and deriving, using the trained AI model, the current performance score for the first cellular base station as a vector based on the one or more relevant performance indicators and the threshold associated with each of the one or more relevant performance indicators. ### Claim 14 (depends on 12) There method of claim 12, wherein accessing the KPIs for each one or more similarly situated cellular base stations comprises accessing KPIs corresponding to one or more of: accessibility, retainability, integrity, availability, and mobility of the cellular network. ### Claim 15 (depends on 12) The method of claim 12, wherein accessing the counters for each of the one or more similarly situated cellular base stations comprises accessing counters in one or more categories selected from among: access failures, access rejections, usage, throughput, transport, and radio environment. ### Claim 16 (depends on 11) The method of claim 11, wherein accessing the one or more previously derived performance scores comprises accessing a plurality of vectorized scores. ### Claim 17 (depends on 11) The method of claim 11, wherein identifying the one or more similarly situated cellular base stations comprises determining the one or more similarly situated cellular base stations are located on similar terrain. ### Claim 18 (depends on 11) The method of claim 11, wherein identifying the one or more similarly situated cellular base stations comprises determining the one or more similarly situated cellular base stations are positioned at similar heights. ### Claim 19 (depends on 11) The method of claim 11, wherein identifying the one or more similarly situated cellular base stations comprises determining the one or more similarly situated cellular base stations have similar tilts. ### Claim 20 (depends on 11) The method of claim 11, wherein the cellular network is a 5G network.