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公开(公告)号:US11451983B2
公开(公告)日:2022-09-20
申请号:US17093958
申请日:2020-11-10
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Azhar Khan
Abstract: Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities. Moreover, past traffic data may be analyzed using artificial intelligence models to predict a volume for a base station that exceeds a capacity for the base station and one or more unmanned vehicles may be dispatched to the base station to provide capacity relief.
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公开(公告)号:US20230062393A1
公开(公告)日:2023-03-02
申请号:US17463259
申请日:2021-08-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Azhar Khan
Abstract: A response that preemptively mitigates an effect of a predicted network congestion event is disclosed. A machine learning or artificial intelligence model or process (ML/AI), that can be updatable, can be used to predicting congestion. Key performance indicators can be analyzed in accord with the ML/AI to predict, infer, etc., a characteristics of a congestion event. The analysis can be performed in near-real-time, typically with delays less than one second, but generally more than 10 milliseconds. The ML/AI, or update thereto, can be determined in non-real time, typically with delays greater than one second. A prediction of a congestion event can trigger operations that cause a user equipment to suspend use of a radio access network node, generally by shifting communications to another wireless node, access point, etc. An embodiment of the disclosed subject matter can be embodied via a virtual radio access network component.
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公开(公告)号:US20220394512A1
公开(公告)日:2022-12-08
申请号:US17888855
申请日:2022-08-16
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Azhar Khan
Abstract: Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities. Moreover, past traffic data may be analyzed using artificial intelligence models to predict a volume for a base station that exceeds a capacity for the base station and one or more unmanned vehicles may be dispatched to the base station to provide capacity relief
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公开(公告)号:US20220150722A1
公开(公告)日:2022-05-12
申请号:US17093958
申请日:2020-11-10
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Azhar Khan
Abstract: Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities. Moreover, past traffic data may be analyzed using artificial intelligence models to predict a volume for a base station that exceeds a capacity for the base station and one or more unmanned vehicles may be dispatched to the base station to provide capacity relief.
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