Invention Grant
- Patent Title: Optimizing machine learning as-a-service performance for cellular communication systems
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Application No.: US17465630Application Date: 2021-09-02
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Publication No.: US12033001B2Publication Date: 2024-07-09
- Inventor: Joydeep Acharya , Sudhanshu Gaur
- Applicant: Hitachi, Ltd.
- Applicant Address: JP Tokyo
- Assignee: HITACHI, LTD.
- Current Assignee: HITACHI, LTD.
- Current Assignee Address: JP Tokyo
- Agency: Procopio, Cory, Hargreaves & Savitch LLP
- Main IPC: G06F9/50
- IPC: G06F9/50 ; G06F9/455 ; G06F9/48 ; G06N20/00 ; H04B17/345

Abstract:
Example implementations described herein involve systems and methods to select machine learning models that will be executed in a cellular Mobile Edge Computing for cellular enabled applications. In contrast to related art implementations, the example implementations described herein considers different data fidelities of received data due to the cellular wireless channel and also performs service resource allocation accordingly.
Public/Granted literature
- US20230064500A1 OPTIMIZING MACHINE LEARNING AS-A-SERVICE PERFORMANCE FOR CELLULAR COMMUNICATION SYSTEMS Public/Granted day:2023-03-02
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