Method for predicting 5G millimeter wave network signal strength spatial distribution situation

Abstract

The invention discloses a method for predicting a 5G millimeter wave network signal strength spatial distribution situation. The method comprises the steps of carrying out inversion to obtain dielectric parameters on surfaces of building materials in a prediction area; establishing a path plane model and a sight distance plane model, giving a maximum multipath distribution result for a special transceiving end location and selecting valid reflection multipaths; and carrying out direct wave consistent area division on the prediction area, measuring direct wave field intensity amplitudes and phases of direct wave consistent areas, predicting field intensity of certain receiving point, judging the direct wave consistent area to which the certain receiving point belongs, calculating a direct reflection field of the receiving point according to a field intensity measuring value of the direct wave consistent area, judging the direct wave consistent area to which a reflection point belongs according to reflection point locations of the valid reflection multipaths, calculating a reflection field by taking a transmission field amplitude of the direct wave consistent area to which the reflection point belongs as an incident field amplitude of a reflection wave, overlapping the direct field and all reflection multipath fields, determining an electric field vector of the receiving point, and summarizing the receiving field of each point in the prediction area. Electromagnetism situation distribution is predicted.

Description

technical field [0001] The present invention relates to the prediction of electromagnetic wave signal propagation in the communication field, and in particular to the prediction method of the spatial distribution situation of network signal strength in the dense networking scenario of 5G millimeter wave transmitting antennas, which is related to the propagation of millimeter waves in complex terrain environments in 5G network communication characteristics and the prediction model of the spatial distribution of millimeter wave 5G communication signals. Background technique [0002] The propagation characteristics of electromagnetic waves, such as reflection, transmission, diffraction, and scattering propagation characteristics, are the basis for prediction of wireless communication field strength. The frequency of millimeter wave in 5G mobile communication is above 6GHz, which presents different propagation characteristics from the signals used in current mobile communication...

AI Technical Summary

Problems solved by technology

The transmission capability of wireless signals is a function of the frequency and the height of the emission source. Due to the dense arrangement of 5G signal transmission base stations and their high frequency bands, millimeter waves have special propagation characteristics. Suitable for 5G mmWave communication scenarios

[0006] For network signal strength prediction, the above-mentioned empirical model based on actual measurement statistics is only applicable to large-scale scenes such as mountainous areas and suburbs. For complex terrain conditions such as cities, the field strength prediction is not accurate because the propagation details that occur during the propagation process are not considered. ; Although the deterministic model based on the 3D digital map has accurate prediction results, it has a huge amount of calculation, low calculation efficiency, and relatively high cost

At present, there is no suitable and practical propagation model suitable for engineering to accurately analyze the signal spatial distribution situation of arbitrary complex terrain scenes (cities, suburbs, open areas, etc.) in 5G network communication

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