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Cellular network fault diagnosis system based on integrated learning and SMOTE

A fault diagnosis system, integrated learning technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., to achieve the effect of improving robustness and availability

Inactive Publication Date: 2018-10-23
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
  • Description
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Problems solved by technology

[0005] The present invention mainly solves the problem of diagnosing network faults through network parameters in a cellular network, and mainly includes the following contents:

Method used

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  • Cellular network fault diagnosis system based on integrated learning and SMOTE
  • Cellular network fault diagnosis system based on integrated learning and SMOTE
  • Cellular network fault diagnosis system based on integrated learning and SMOTE

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Embodiment Construction

[0012] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0013] The present invention obtains a stable fault diagnosis system by analyzing the existing historical fault parameter data set and training with an integrated learning method based on AdaBoost, and uses this system as a basis to use the obtained fault use case of unknown fault cause as the system The system classifies the fault according to the relevant parameters of the fault use case, and the result of the classification is the cause of the fault, so as to achieve the purpose of fault diagnosis. A good classification effect makes the result of fault diagnosis more accurate. Finally, the design of the present invention guarantees the authenticity of the entire mechanism. The specific implementation process is as follows:

[0014] Step 1: SMOTE oversampling

[0015] SMOTE oversampling technology is an improved technology for random oversa...

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Abstract

The invention discloses a method for quickly performing fault diagnosis according to the existing network parameter information in a cellular network in the case of a fault of the network to find a fault cause. According to the method disclosed by the invention, the diagnosis is performed when the fault occurs in the network and has been detected. According to the method disclosed by the invention, a stable fault diagnosis system is obtained by analyzing an existing historical fault parameter data set and training the existing historical fault parameter data set by using an integrated learningmethod based on AdaBoost, and based on the system, an obtained fault case with unknown fault cause is used as the input of the system, the system classifies the fault according to relevant parametersof the fault case, and the classification result is the fault cause, so that the purpose of fault diagnosis is achieved. In addition, the system also performs over-sampling on training samples by using an SMOTE (Synthetic minority over-sampling technique) to improve the diagnosis accuracy of the fault case.

Description

technical field [0001] The invention discloses a method for quickly diagnosing the occurring fault and finding the cause of the fault according to the existing network parameter information when the network fails under the cellular network. It is used to quickly find the cause of the fault when the cellular network fails, and provide a reference for fault recovery. It belongs to the field of cellular network fault diagnosis. Background technique [0002] In recent years, the proliferation of some bandwidth-hungry applications, such as video streaming and multimedia file sharing, will have a huge impact on user behavior in future wireless cellular systems, especially with the emergence of countless smart handheld devices, Users' demand for bandwidth is experiencing unprecedented growth. This trend, reflected in user behavior, is putting enormous pressure on the capacity requirements, quality of service, and energy efficiency of cellular systems. In addition, with the appli...

Claims

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Application Information

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IPC IPC(8): H04L12/24G06K9/62
CPCH04L41/06G06F18/214G06F18/2411G06F18/24
Inventor 钱红燕孙梦云朱琨
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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