Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Machine learning model parameter transmission method and device

A machine learning model and parameter technology, applied in the field of communication, can solve problems such as affecting air interface transmission

Pending Publication Date: 2021-10-29
DATANG MOBILE COMM EQUIP CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, when the machine learning deduction model is inside the wireless mobile communication system, how to deploy / update the machine learning model is a problem to be studied
In particular, when the machine learning model on the user terminal side needs to be updated, it also affects the transmission of the air interface

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Machine learning model parameter transmission method and device
  • Machine learning model parameter transmission method and device
  • Machine learning model parameter transmission method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0085] Introducing machine learning into wireless mobile communication systems can solve complex problems or improve performance of mobile communication systems. However, due to the complex composition of the wireless mobile communication system and numerous manufacturers, how to deploy / update the machine learning model trained on the network side to the terminal side has become a systematic problem, requiring a unified solution.

[0086] Therefore,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a machine learning model parameter transmission method and device in a mobile communication system, which are used for realizing deployment / update of a machine learning model when a machine learning deduction model is in the wireless mobile communication system. The machine learning model parameter transmission method provided by the invention comprises the following steps: reporting a function unit list of a machine learning model supported and applied by first equipment and a machine learning model type to second equipment; receiving machine learning model parameters sent by the second equipment; and sending the machine learning model parameters to a target function unit in the first equipment.

Description

technical field [0001] The present application relates to the field of communication technologies, and in particular to a method and device for transferring machine learning model parameters. Background technique [0002] As one of the key methods of artificial intelligence, machine learning was proposed in the 1950s. With the development of machine learning technology, neural network (NN: Neural Network) or artificial neural network (ANN: Artificial Neural Network) was proposed, which is inspired by biological neural network, and it is convenient to introduce a general model in machine learning. . A simple neural network includes an input layer, an output layer, and a hidden layer (if necessary), and each layer includes multiple neurons (Neurons). [0003] In order to solve complex nonlinear problems, the hidden layers in the designed neural network gradually increase to form a deep neural network (DNN: Deep Neural Network), and its corresponding learning method is deep m...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N20/00H04W4/30
CPCG06N20/00H04W4/30
Inventor 索士强谌丽王映民
Owner DATANG MOBILE COMM EQUIP CO LTD
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com