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

Flow signal conversion method and device, electronic equipment and storage medium

A technology of traffic signal and conversion method, which is applied in the field of communication, can solve problems such as OTN machine learning, and achieve the effect of traffic prediction

Pending Publication Date: 2022-05-06
NANJING ZHONGXING SOFTWARE
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since ordinary neural networks can only process Euclidean spatial data, while the data involved in OTN is non-Euclidean spatial data, ordinary neural networks cannot perform effective machine learning on OTN to realize OTN traffic prediction

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
  • Flow signal conversion method and device, electronic equipment and storage medium
  • Flow signal conversion method and device, electronic equipment and storage medium
  • Flow signal conversion method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below with reference to the accompanying drawings. However, those of ordinary skill in the art can understand that in each embodiment of the application, many technical details are provided for readers to better understand the application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in this application can also be realized. The division of the following embodiments is for the convenience of description, and should not constitute any limitation to the specific implementation of the present application, and the embodiments can be combined and referred to each other on the premise of no contradiction.

[0027] The first embodiment of the present invention relates to a traffic sig...

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 embodiment of the invention relates to the technical field of communication, and discloses a flow signal conversion method, which comprises the following steps: acquiring flow signals of an OTN (Optical Transport Network) at a plurality of moments; and converting the traffic signal into a traffic signal with a time feature and a space feature by using a graph convolutional network. The embodiment of the invention further discloses a flow signal conversion device, electronic equipment and a storage medium. According to the traffic signal conversion method and device, the electronic equipment and the storage medium provided by the embodiment of the invention, effective machine learning can be performed on the OTN so as to realize traffic prediction of the OTN.

Description

technical field [0001] The embodiments of the present application relate to the technical field of communications, and in particular to a flow signal conversion method, device, electronic equipment, and storage medium. Background technique [0002] In recent years, with the rapid development of OTN (Optical Transport Network), especially over 100G optical transport network technology, to meet the needs of the three major application scenarios (eMBB, uRLLC, mMTC) in the 5G era, and to dig deep into the 5G mid-backhaul The application of AI technology in OTN networking scenarios has been highly recognized by the industry and has extremely important practical significance. [0003] In the current network, predict the Layer 2 service traffic carried by the ODU (Optical Data Unit) layer in the OTN, and plan the expansion and reconstruction of the network element equipment nodes in the OTN network according to the prediction results, or exchange the ODU layer services Granular OD...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04L43/0888H04L43/04H04J3/16G06N3/04G06N3/08
CPCH04L43/0888H04L43/04H04J3/1652G06N3/08G06N3/045H04J3/16G06N3/04
Inventor 王大江叶友道张伟王振宇
Owner NANJING ZHONGXING SOFTWARE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products