Invention Application
- Patent Title: MODEL DISCOVERY AND SELECTION FOR COOPERATIVE MACHINE LEARNING IN CELLULAR NETWORKS
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Application No.: US17111346Application Date: 2020-12-03
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Publication No.: US20220182263A1Publication Date: 2022-06-09
- Inventor: Rajeev KUMAR , Xipeng ZHU , Shankar KRISHNAN , Mutaz Zuhier Afif SHUKAIR , Taesang YOO
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: H04L12/54
- IPC: H04L12/54 ; H04W88/14 ; H04W28/18 ; G06N3/02

Abstract:
An OAM core network may receive a request for a ML/NN model and features associated with a ML/NN procedure. The OAM core network may determine a latest update to the ML/NN model and features based on the request and generate a response to the request indicative of the latest update to the ML/NN model and features. In aspects, a base station may initiate the request for the ML/NN model and features by transmitting the request for the ML/NN model and features to the OAM core network. The base station may receive the generated response of the OAM core network based on the transmitted request. In further aspects, a UE may initiate the request for the ML/NN model and features by transmitting the request to the base station, where the UE may receive the ML/NN model and features from the base station based on the transmitted request.
Public/Granted literature
- US11424962B2 Model discovery and selection for cooperative machine learning in cellular networks Public/Granted day:2022-08-23
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