A data transmission method, device, server and network center node

A data transmission method and network center technology, applied in the field of servers and network center nodes, data transmission methods, and devices, can solve problems such as network congestion and resource waste, and achieve the effect of avoiding congestion

Active Publication Date: 2022-07-22
CHINA MOBILE COMM LTD RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a data transmission method, device, server and network central node, which solves the problem of waste of resources or network congestion caused by assuming random behavior of users in the traditional wireless network design process

Method used

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  • A data transmission method, device, server and network center node
  • A data transmission method, device, server and network center node
  • A data transmission method, device, server and network center node

Examples

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example 1

[0105] Example 1: The type of the model is: Back propagation (BP) neural network; the basic parameters of the model are: the number of network layers: 2 layers, and the number of nodes in the middle layer: 10.

example 2

[0106] Example 2: The type of the model is: support vector machine; the basic parameters of the model are: the basic parameters of the support vector machine. For example, the type of support vector machine may be one of the following: a) C-SVC: C-support vector classifier; b) V-SVC: V support vector classifier; c) one-class SVM, single-class-support vector machine; d) e-SVR: ε-support vector regression machine; e) v-SVR: n-support vector regression machine. For another example, the basic parameters of a support vector machine may be one of the following: a) linear; b) polynomial; c) nonlinear action function Sigmoid function of neurons; d) Gaussion radial basis kernel (RBF, Gaussian radial basis function) ).

[0107] Specifically, step 12 in the above-mentioned embodiment of the present invention includes:

[0108] Step 121, when the terminal accesses the network central node, send the characteristic data of the terminal and / or the characteristic information of the model re...

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Abstract

The present invention provides a data transmission method, device, server and network center node. The method includes: acquiring characteristic data of a terminal and / or characteristic information of a model required for training and analysis of the network center node; sending the terminal characteristics to the network center node Data and / or feature information of the model required for the training and analysis of the central node of the network. The embodiment of the present invention deploys a server, the server collects characteristic data of the terminal, and distributes the characteristic information of the model required for training and analysis of the terminal and / or the network center node to the network center node currently accessed by the terminal through the network, then the network The central node can assist resource allocation and communication mode decisions based on these characteristic data; this enables the network to perform refined and differentiated resource optimization and transmission scheme design based on the characteristic data of services and users, and can, based on these predicted characteristics, make Users perform services in advance, avoid congestion in advance, and effectively utilize idle resources.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular, to a data transmission method, device, server and network center node. Background technique [0002] The rapid development of wireless mobile communication enables it to support higher rates and meet diverse business requirements, and wireless networks generate a large amount of data. These large amounts of data place higher requirements on the processing speed and delay of the network, and bring huge challenges. [0003] In the design process of traditional wireless networks, it is assumed that the user's behavior is random, that is, the user's location, moving path, time and content of the user's request are random. Based on this knowledge, in order to cope with unpredictable worst-case scenarios, wireless networks are often designed for peak rates and adopt conservative designs. For differentiated users, the same model is usually used to make network behav...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W28/02H04W28/06
CPCH04W28/0289H04W28/06
Inventor 孙奇韩双锋易芝玲
Owner CHINA MOBILE COMM LTD RES INST
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