Method and device for determining low quality areas of mobile network

Abstract

The invention discloses a method and device for determining low quality areas of a mobile network. The method comprises the steps of carrying out gridding on coverage areas of the mobile network; computing a quality index of each grid, thereby determining low quality grids; with respect to a low quality grid not contained in a low quality area list A, and in a grid area taking the low quality grid as a center, if the total number of the low quality grids is greater than a preset threshold, adding all the grids in the grid area to the low quality area list Ai; taking every low quality grid in the grid area as a reference grid, adding the grids of a reference area taking the reference grid as the center to the low quality area list Ai, continuously processing by taking the unprocessed low quality grids in the reference area as the reference grids, thereby expanding the low quality area list Ai; adding the contents of the low quality area list Ai to the low quality area list A; and displaying the low quality areas contained in the low quality area list A in a geographic information system. According to the method and the device, the practical condition of the network can be reflected truly, and the method and the device are not limited to the areas with fixed rules.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a method and a device for determining a mobile network poor quality area. Background technique [0002] In the daily network optimization process of communication operators, it is necessary to evaluate the quality of mobile network coverage areas, and select areas with poor quality and poor user perception, so as to perform targeted optimization and improve user perception and satisfaction. [0003] Currently, there are three commonly used evaluation methods for poor quality areas: [0004] Evaluate based on the granularity of administrative districts: Evaluate the quality of regions based on the granularity of cities or districts and counties, and find out cities or districts with many problems and poor quality; [0005] Evaluate based on service area / grid: Evaluate based on the operator’s business management scope. This method requires a clear definition of the service area...

AI Technical Summary

Problems solved by technology

[0007] All of the above methods can evaluate the quality of fixed areas and find areas of poor quality, but there are still some disadvantages, such as only based on fixed areas, and cannot accurately identify area boundaries

Some methods have too many calculations, resulting in low calculation efficiency. At the same time, there are problems such as low positioning accuracy, inability to intuitively reflect poor quality areas that users perceive poorly, etc.

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