Network element selection method and device

A network element and service network element technology, applied in the field of communication, can solve the problems of unsuitable large-scale application and implementation, poor accuracy of service network elements, etc., and achieve the effect of improving selection accuracy and high selection efficiency

Pending Publication Date: 2021-06-18
CHINA MOBILE GROUP ZHEJIANG +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the inventor found in the implementation process that there are the following defects in the prior art: the current NRF network element only obtains the service network element according to the query parameters contained in the network element selection request in the process of selecting the se

Method used

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  • Network element selection method and device
  • Network element selection method and device

Examples

Experimental program
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Example Embodiment

[0056] Example one

[0057]figure 1 A flow schematic diagram showing a network element selection method according to an embodiment of the present invention. Among them, the network element selection method provided in this embodiment can be performed on the NRF network element on the 5G system.

[0058] Such as figure 1 As shown, the method includes the following steps:

[0059] Step S110: Receive a network element selection request; wherein the network element selection request is carried in the NE selection request.

[0060] In the 5G system, NRF NEs and at least one service network element are usually included. Wherein, the NRF network element is used to receive the network element selection request sent by the service network element, and feedback other service network elements that match the NE selection request. In the actual implementation process, the NRF NE can receive a network element selection request of any of the service network elements in the 5G system, wherein the...

Example Embodiment

[0074] Example 2

[0075] figure 2 A flow schematic diagram showing a method of selecting a network element provided by the second embodiment of the present invention. Among them, the network element selection method provided in this embodiment is a further optimization of the NE selection method in the first embodiment, specifically, for the optimization of the training method of the machine learning model in the first embodiment.

[0076] Such as figure 2 As shown, the method includes the following steps:

[0077] Step S210: Build a machine learning model.

[0078] Among them, the machine learning model constructed in this embodiment is specifically a depth neural network model. In the machine learning model, there is: three parallel input layers, three parallel phrase layers, three parallel conversion layers, one merge layer, at least one full connect layer, and / or at least one discard layer.

[0079] Such as image 3 As shown, the constructed machine learning model contains ...

Example Embodiment

[0101] Example three

[0102] Figure 4 A structural diagram of a network element selection apparatus provided in the first embodiment of the present invention is shown. Such as Figure 4 As shown, the apparatus includes: requesting a receiving module 41, an information acquisition module 42, an input module 43, a evaluation value acquisition module 44, and a determining module 45.

[0103] The request receiving module 41 is adapted to receive a network element selection request; wherein the network element selection request is carried out in the request;

[0104] The information acquisition module 42 is adapted to obtain status information and attribute information of at least one service network element;

[0105] The input module 43 is adapted to select the web element selection condition, and the status information of the at least one of the service network elements and the attribute information input to the machine learning model completed by the pre-training.

[0106] The eval...

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Abstract

The invention discloses a network element selection method and device. The method comprises the following steps: receiving a network element selection request, wherein the network element selection request carries a network element selection condition; acquiring state information and attribute information of at least one service network element; inputting the network element selection condition and the state information and the attribute information of the at least one service network element into a pre-trained machine learning model; obtaining an evaluation value of any service network element output by the machine learning model; and determining a target service network element based on the evaluation value of any service network element. According to the scheme, the target service network element is comprehensively determined based on the three-dimensional data of the network element selection condition, the state information of the service network element and the attribute information of the service network element by adopting a machine learning method, so that the selection precision of the service network element can be greatly improved, the selection efficiency is relatively high, and the method is suitable for large-scale application and implementation.

Description

technical field [0001] The invention relates to the field of communication technologies, in particular to a method and device for selecting a network element. Background technique [0002] With the continuous development of science and technology and society, 5G (5th generation mobile networks) communication technology has also achieved rapid development. In the current 5G system, an NRF (Network Repository Function, network warehouse function) network element is introduced, and the network element selection request is received through the NRF network element, and the corresponding service network element is returned in response to the request. [0003] However, the inventor found in the implementation process that there are the following defects in the prior art: the current NRF network element only obtains the service network element according to the query parameters contained in the network element selection request in the process of selecting the service network element ...

Claims

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Application Information

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IPC IPC(8): H04L12/24G06N3/04G06N3/08
CPCH04L41/0893H04L41/142G06N3/08G06N3/045Y02D30/70
Inventor 邢彪郑屹峰张卷卷陈维新章淑敏
Owner CHINA MOBILE GROUP ZHEJIANG
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