Consumer-Controllable ML Model Provisioning in a Wireless Communication Network
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United States of America
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Apr 10, 2025
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Jul 21, 2022
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Jul 21, 2022
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Abstract
A process is defined for consumer-controllable ML model provisioning and training in a wireless communication network. The process comprises two procedures, which respectively correspond to the two phases of an ML model provisioning process in, e.g., 5GC, i.e., the preparation/provisioning phase and the training execution phase. For the preparation/provisioning phase, new parameters are added to the request from the ML model consumer to the ML model generator (e.g., NWDAF), so that the latter can conduct the ML model provisioning according to the consumer requirements. For the training execution phase, interactions between the ML model consumer and generator(s) are considered, and the corresponding procedure for a consumer controlling the ML model training execution phase is defined.
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