Method and apparatus for transferring machine learning model parameter

A method for transferring machine learning model parameters in a mobile communication system, applied to a second device, comprising:

• determining, by an AI-native service master management component in the second device, a target functional component in which a machine learning model is to be deployed in a first device and a corresponding machine learning model file, wherein the target functional component comprises at least one of a channel estimation component, a signal detection component, a channel decoding component, a channel quality indicator (CQI) measurement component, a synchronization detection component, or a transmitting antenna selection component;
• applying, by the AI-native service master management component in the second device, for a transmission resource between the first device and the second device from a transmission resource management component in the second device;
• and
• sending, by the AI-native service master management component in the second device, information of the target functional component and the machine learning model file to an AI-native service slave management component in the first device by using the transmission resource obtained by application;
• wherein the method further comprises:
• receiving, by the AI-native service master management component in the second device, a transmission resource application sent by the AI-native service slave management component in the first device, and allocating the transmission resource between the first device and the second device to the AI-native service slave management component;
• receiving, by the AI-native service master management component in the second device, a service registration application sent by the AI-native service slave management component in the first device, and sending a service registration permission to the AI-native service slave management component;
• wherein the first device is a terminal device in the mobile communication system, the second device is a base station device in the mobile communication system, and the transmission resource between the first device and the second device is a wireless transmission resource between the terminal device and the base station device;
• or
• wherein the first device is a base station distributed unit in the mobile communication system, the second device is a base station centralized unit in the mobile communication system, and the transmission resource between the first device and the second device is a wired or wireless transmission resource between the base station distributed unit and the base station centralized unit.

An apparatus for transferring machine learning model parameters in a mobile communication system, applied to a first device, comprising:

• a memory configured to store program instructions;
• a processor configured to invoke the program instructions stored in the memory and execute according to an obtained program:
• controlling an AI-native service slave management component in the first device to receive a machine learning model file and information of a target functional component sent by an AI-native service master management component in a second device, wherein the target functional component comprises at least one of a channel estimation component, a signal detection component, a channel decoding component, a channel quality indicator (CQI) measurement component, a synchronization detection component, or a transmitting antenna selection component;
• and
• controlling the AI-native service slave management component to distribute the machine learning model file into the target functional component in the first device according to the information of the target functional component,
• wherein the processor is further configured to invoke the program instructions stored in the memory and execute according to the obtained program:
• controlling the target functional component to notify the AI-native service slave management component that the machine learning model file has been installed;
• controlling the AI-native service slave management component to apply for a transmission resource between the first device and the second device from a transmission resource management component in the second device;
• controlling the AI-native service slave management component to apply for service registration to the AI-native service master management component by using the transmission resource obtained through application;
• and
• controlling the AI-native service slave management component to launch a service included in a latest machine learning model installed in the target functional component after obtaining a service registration permission from the AI-native service master management component;
• wherein the first device is a terminal device in the mobile communication system, the second device is a base station device in the mobile communication system, and the transmission resource between the first device and the second device is a wireless transmission resource between the terminal device and the base station device;
• or
• wherein the first device is a base station distributed unit in the mobile communication system, the second device is a base station centralized unit in the mobile communication system, and the transmission resource between the first device and the second device is a wired or wireless transmission resource between the base station distributed unit and the base station centralized unit.