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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

AI Technical Summary

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 service network element according to the network element selection request. The query parameter matches the service network element
However, with this network element selection method, the accuracy of the selected service network element is poor, which is not suitable for large-scale application and implementation

Method used

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  • Network element selection method and device

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Experimental program
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Embodiment 1

[0057]figure 1 A schematic flowchart of a method for selecting a network element provided in Embodiment 1 of the present invention is shown. Wherein, the network element selection method provided in this embodiment can be executed on the NRF network element side in 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 carries a network element selection condition.

[0060] In a 5G system, it usually includes an NRF network element and at least one serving network element. Wherein, the NRF network element is used for receiving the network element selection request sent by the service network element, and feeding back other service network elements matching the network element selection request. Then in the actual implementation process, the NRF network element can receive the network element selection request of any service net...

Embodiment 2

[0075] figure 2 A schematic flowchart of a method for selecting a network element provided in Embodiment 2 of the present invention is shown. Wherein, the network element selection method provided in this embodiment is aimed at further optimization of the network element selection method in the first embodiment, and is specifically aimed at 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] Wherein, the machine learning model constructed in this embodiment is specifically a deep neural network model. In the machine learning model, it includes: three parallel input layers, three parallel word embedding layers, three parallel transformation layers, one pooling layer, at least one fully connected layer, and / or at least one discarding layer.

[0079] Such as image 3 As shown, the constructed ma...

Embodiment 3

[0102] Figure 4 A schematic structural diagram of an apparatus for selecting a network element provided in Embodiment 3 of the present invention is shown. Such as Figure 4 As shown, the device includes: a request receiving module 41 , an information obtaining module 42 , an input module 43 , an evaluation value obtaining 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 carries a network element selection condition;

[0104] An information acquisition module 42, adapted to acquire status information and attribute information of at least one serving network element;

[0105] The input module 43 is adapted to input the network element selection condition, and the status information and attribute information of the at least one serving network element into the pre-trained machine learning model;

[0106] An evaluation value acquisition mo...

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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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