Wireless network scenario-based assessment method, wireless network scenario-based assessment device, equipment and medium

Abstract

The embodiment of the invention provides a wireless network scenario-based assessment method, a wireless network scenario-based assessment device, equipment and a medium. The assessment method comprises the following steps: acquiring longitude and latitude information in a reported user position through a mobile network; reading a user plane bill containing the longitude and latitude information and a MRO bill containing wireless network information, associating the user plane bill with the MRO bill, and creating a user fingerprint library; performing rasterization for a map according to a preset shape, projecting wireless environment information in the user fingerprint library into a corresponding grid, and calculating out a wireless performance index in each grid. According to the embodiment of the invention, the scenario-based assessment based on any geometric plane shape can be realized, and that the acquired wireless performance index can completely and accurately reflect the wireless performance index of the region is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a wireless network scenario evaluation method, a wireless network scenario evaluation device, computer equipment and a computer storage medium. Background technique [0002] At present, scenario-based evaluation and assessment can only be based on MRO (Measurement Report Original, measurement report sample data) positioning for wireless key performance indicators (KPI, Key Performance Indicator) statistics of the scene, while MRO positioning can only be fixedly projected to cells or base stations. Strong area boundary restrictions, the projected graphics are limited to the sector of the cell or base station, and other irregular graphics cannot be projected, which will cause part of the coverage area to not be the target image, and some areas in the target image cannot pass through the cell or base station Do it on a small scale. related technologies such as fi...

AI Technical Summary

Problems solved by technology

[0002] At present, scenario-based evaluation and assessment can only be based on MRO (Measurement Report Original, measurement report sample data) positioning for wireless key performance indicators (KPI, Key Performance Indicator) statistics of the scene, while MRO positioning can only be fixedly projected to cells or base stations, with Strong area boundary restrictions, the projected graphics are limited to the sector of the cell or base station, and other irregular graphics cannot be projected, which will cause some coverage areas to not be the target image, and some areas in the target image cannot pass through the cell or base station carry out small scale

related technologies such as figure 1 When performing statistics on wireless performance indicators in the S1 area shown, only the following figure 1 As shown, the wireless network information in the sectoral areas covered by the five base stations of A1, A2, A3, A4, and A5 are collected. Since some sectors have crossed the boundary of the area, S1 will be collected. In some areas other than S1, wireless network information generated by users in all areas within this range of S1 cannot be collected, which will lead to inaccurate results of wireless performance indicators, and cannot truly reflect the wireless performance indicators of the S1 area.

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