Invention Application
- Patent Title: METHOD OF LOAD FORECASTING VIA KNOWLEDGE DISTILLATION, AND AN APPARATUS FOR THE SAME
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Application No.: US17902626Application Date: 2022-09-02
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Publication No.: US20230102489A1Publication Date: 2023-03-30
- Inventor: Chengming HU , Xi CHEN , Amal FERIANI , Ju WANG , Jikun KANG , Xue LIU , Gregory Lewis DUDEK , Seowoo JANG
- Applicant: SAMSUNG ELECTRONICS CO., LTD.
- Applicant Address: KR Suwon-si
- Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee Address: KR Suwon-si
- Main IPC: H04W28/16
- IPC: H04W28/16 ; G06N20/00 ; H04W24/02 ; H04L41/16

Abstract:
A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.
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