Wireless network coverage blind area sensing method and system

Abstract

The invention relates to a wireless network coverage blind area sensing method and system. According to the method, an analysis area and an analysis period are selected and a wireless network signal data sample set collected from a mobile terminal is received. The method is characterized in comprising the following steps of carrying out data washing and sorting on a data set collected in the analysis period; determining a value range of the seed number and taking the value range of the seed number as a control parameter for outer layer circulation of clustering analysis; selecting k initial clustering centers as seeds in a test target analysis area; on the basis of the determined seed number k and the selected k seeds, carrying out inner layer iteration through adoption of a k-means method, changing a value of the seed number k according to the determined value range of the seed number, repeating a process of calculating and selecting the seeds until all seed number is iterated completely; and determining a final output result. According to the method and the system, a coverage blind area of the mobile terminal can be timely and accurately discovered, and a blind area position, a range and the serious degree are calibrated.

Description

technical field [0001] The present invention relates to the field of communications, in particular to a method and system for detecting wireless network coverage blind spots. Background technique [0002] In the mobile environment, the prerequisite for the wireless network to provide uninterrupted information transmission services for mobile phone users is that the network has sufficient coverage of the entire geographical area. However, due to network equipment failures, such as base station hardware failures or base station engineering parameter configuration errors, etc.; area restrictions for base station equipment deployment, such as the inability to build stations due to residents' opposition; limitations of the wireless propagation environment, such as large buildings. For various reasons, such as basements, there are often areas with insufficient coverage or even no coverage. This will have a great impact on the user's network experience, such as service quality deg...

AI Technical Summary

Problems solved by technology

[0005] (2) Find the problem of insufficient coverage through the data collected on the network side (such as MR, CDR, etc.);

[0006] (3) User complaints

[0007] However, the cost of the traditional road test method is high, and some areas, such as residents' homes and secret places of government agencies, cannot be tested due to inaccessibility;

[0008] Therefore, the disadvantages of collecting data from the network side include: (1) The collected data often lacks enough accurate positioning information, and it is difficult to accurately find the location of insufficient coverage; The mobile phone cannot communicate with the network, and such problems cannot be found from the network side, so measures cannot be taken to deal with them;

This prior art method for counting wireless network coverage blind areas mainly focuses on the acquisition of blind area data, but does not disclose a technical solution on how to perform technical processing on the acquired data

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