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Artificial intelligence model processing method and device based on federated learning in o-ran system

A technology of intelligent processing and artificial intelligence, applied in the field of data processing, can solve problems such as non-real-time RIC and near-real-time RIC not involving federated learning, no public technical information, etc.

Active Publication Date: 2021-01-29
BEIJING WUZI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, in the O-RAN standardization organization, the discussion on non-real-time RIC and near-real-time RIC does not involve the topic of federated learning, and there is no relevant public technical information

Method used

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  • Artificial intelligence model processing method and device based on federated learning in o-ran system
  • Artificial intelligence model processing method and device based on federated learning in o-ran system
  • Artificial intelligence model processing method and device based on federated learning in o-ran system

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] figure 1 It is a flow chart of an artificial intelligence model processing method based on federated learning in an O-RAN system disclosed in an embodiment of the present invention, figure 1 The shown method is applied to a wireless intelligent control unit, such as a RIC, in an O-RAN system. In this embodiment, the non-real-time RIC serves as the central node, and the near-real-time RIC serves as the local node. Due to the limitation of security or ...

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Abstract

The present application discloses a federated learning-based artificial intelligence model processing method and device in an O-RAN system. The method includes: based on the performance of the artificial intelligence model, a non-real-time intelligent processing unit triggers a federated learning mode for a specific application, including the following steps: (1) The non-real-time intelligent processing unit requests the real-time intelligent processing unit to learn a specific application locally, and then feeds back the learned model parameters and the performance statistics after learning; (2) The non-real-time intelligent processing unit performs performance comparison, based on The maximum ratio algorithm of the performance difference and the feedback delay of the model combine the model parameters; (3) The non-real-time intelligent processing unit transmits the combined model parameters to the real-time intelligent processing unit for real-time reasoning application; (4) Repeat the above The process continues until the non-real-time intelligent processing unit judges that the performance of the artificial intelligence model reaches the target.

Description

technical field [0001] The present invention relates to data processing technology, and more specifically, relates to an artificial intelligence model processing method and device based on federated learning in an O-RAN system. Background technique [0002] The full name of O-RAN is Open Radio Access Network, which refers to the design and development of open and intelligent wireless access equipment. In the O-RAN system, there are mainly two modules that can reflect intelligent functions: Non Real Time Radio Intelligent Controller (Non-RT RIC; also known as non-real-time RIC) and Near real time radio intelligent controller (Near Real Time Radio Intelligent Controller, Near-RT RIC; also called near real time RIC). in: [0003] Non-real-time RIC and near-real-time RIC have the characteristics of intelligence, and can use artificial intelligence technology to provide services such as prediction and reasoning; [0004] The principle of federated learning is to perform local ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N5/04G06N20/20
CPCG06N5/04G06N20/20
Inventor 韩丽华
Owner BEIJING WUZI UNIVERSITY