Invention Publication
- Patent Title: SYSTEMS AND METHODS FOR MACHINE LEARNING BASED ACCESS CLASS BARRING
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Application No.: US18361508Application Date: 2023-07-28
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Publication No.: US20240056945A1Publication Date: 2024-02-15
- Inventor: Harsha Hegde , Minyan Shi
- Applicant: CommScope Technologies LLC
- Applicant Address: US NC Hickory
- Assignee: CommScope Technologies LLC
- Current Assignee: CommScope Technologies LLC
- Current Assignee Address: US NC Hickory
- Main IPC: H04W48/02
- IPC: H04W48/02

Abstract:
Systems and methods for ML based ACB are provided herein. In an example, a system includes BBU(s), RU(s) communicatively coupled to the BBU(s), and antenna(s) communicatively coupled to the RU(s). Each respective RU of the RU(s) is communicatively coupled to a respective subset of the antenna(s). The BBU(s), the RU(s), and the antenna(s) are configured to implement a base station for wirelessly communicating with UEs in a cell. The system includes a machine learning computing system configured to: receive time data, traffic data, and location data; and determine predicted barring parameter(s) for the base station based on the time data, the traffic data, and the location data. The system is configured to: adjust barring factor(s) and/or barring time(s) in an information message based on the predicted barring parameter(s) for the base station; and send the information message with the adjusted barring factor(s) and/or barring time(s) to UEs in the cell.
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