Method for drawing maps by making full use of wireless signal field prediction of actual measurement data and network coverage

Abstract

The invention utilizes pattern recognition technique and differentially and more fully utilizes actual measurement data. Zone partitioning method varies from zone (antenna) to zone, thus reflecting different influences of different terrains and landforms around the zones and eliminating the problem of isotropy; the higher the drive test density the zones are provided with, the higher the zone partitioning density the zones are provided with, as a result, prediction accuracy is further improved; meanwhile, simplified prediction is carried out on diffraction and reflection effect, the influences of different terrains and landforms are given further considerations and isotropy is eliminated.

Description

technical field [0001] The present invention relates to the field of wireless technology. In particular, it relates to a method for predicting wireless network signal strength and drawing a wireless network coverage distribution map. Background technique [0002] The wireless network coverage map uses different colors on the map to indicate the coverage of different cells (cells) in the wireless network, including which areas are covered, and the signal strength of the covered area. A high-precision coverage map is an important basis for wireless network optimization. It can intuitively and clearly present cell coverage and many possible problems. It is a powerful scientific tool to improve the utilization of wireless network coverage and ensure network quality. . [0003] The drawing of coverage maps is a process from point to area. When there is no coverage map, there are only isolated and measured data at different locations (that is, drive test frequency sweep data), ...

AI Technical Summary

Problems solved by technology

Deterministic methods are computationally expensive and cannot be adopted at scale

At the same time, it also requires a very rich and accurate variety of parameters, including the diffraction and reflection parameters of buildings of different building materials and different landforms, and even the atmospheric refractive index under different weather conditions. For cities, it is difficult to obtain and maintain timely and effective updates of these data, so the prediction accuracy of the ray tracing method will be greatly affected

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