5G slice user complaint root cause positioning method and device

Abstract

The invention discloses a root cause positioning method and device for 5G slice user complaint. The method comprises the following steps: acquiring complaint content of slice user complaint submitted by a slice user; extracting feature information of four types of heterogeneous nodes according to user identifiers and complaint contents of the slice users, the four types of heterogeneous nodes comprise slice terminal user nodes, slice user complaint nodes, slice instance nodes and slice abnormal scene nodes; performing serialization processing on the feature information of the four types of heterogeneous nodes to obtain serialized data to be reasoned; inputting data to be reasoned into the trained root cause positioning model, and outputting the result to obtain a root cause sequence of the slice complaint; and positioning complaint root causes according to the root cause sequence. According to the scheme, the complaint root cause of the complaint of the slicing user can be predicted by utilizing the trained root cause positioning model, the accuracy and the efficiency of recommending the complaint root cause of the slicing user are improved, and effective solution measures can be taken for the complaint.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a root cause location method and device for 5G slice user complaints. Background technique [0002] Network slice (Network Slice) is a collection of end-to-end logical functions and the required physical or virtual resources, including access network, transmission network, core network, etc. Network slice can be regarded as a virtualized "private network" in 5G network ; Network slicing is based on the unified infrastructure of NFV to achieve low-cost and efficient operation. Network slicing technology can achieve logical isolation of communication networks, allowing network elements and functions to be configured and reused in each network slice to meet specific industry application requirements. [0003] The slicing network has a complex structure, various node types, and intricate relationships, involving wireless network subdomains, transmission network subdomains, an...

AI Technical Summary

Problems solved by technology

However, human positioning is prone to errors and the efficiency is low. The disadvantage of the knowledge base is that it cannot be updated in time, and the root cause cannot be accurately located for complaint scenarios that have not occurred before. At the same time, when faced with a large number of slice user complaints, the efficiency Extremely low, unable to meet the O&M requirements of 5G network slicing

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