A method and device for modeling wireless channel large-scale fading

Abstract

The invention provides a wireless channel large-scale fading modeling method and device, which can accurately predict the path loss value of a point to be measured. The method includes: obtaining picture information of the measurement environment and actual path loss values ​​of multiple measurement points in the measurement environment; extracting the surface height distribution, ground objects and building type information of the propagation environment according to the picture information, and analyzing the extracted ground objects and One-hot encoding of building type information; obtain the transmission frequency of the base station in the measurement environment, the height of the base station, and the distance from the base station to the receiving antenna; obtain the actual path loss value, surface height distribution, and one-hot encoded ground objects and building type information , the transmitting frequency of the base station, the height of the base station and the distance from the base station to the receiving antenna are combined to obtain multi-dimensional channel features; according to the obtained multi-dimensional channel features, the convolutional neural network is trained to obtain a channel loss detection model. The invention relates to the fields of wireless channel modeling and artificial intelligence.

Description

technical field [0001] The invention relates to the fields of wireless channel modeling and artificial intelligence, in particular to a method and device for modeling large-scale fading of wireless channels. Background technique [0002] With the development of mobile communication technology, various indicators of the propagation path of radio waves (that is, wireless channel), such as bandwidth, frequency band, antenna scale, etc., have doubled, and the data in the wireless channel has also increased dramatically. As we all know, the most complex communication system is the first wireless communication system. Its complexity is mainly due to the fact that the working environment of wireless communication is very complex. The radio wave signal will not only produce diffusion loss with the increase of propagation distance, but also will be covered by terrain and buildings to cause "shadow effect". At the same time, the signal propagation process The multi-point reflection i...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a wireless channel large-scale fading modeling method and device to solve the problem of large amount of calculation, many interference factors and inaccurate prediction in the empirical and semi-empirical path loss models in the prior art The problem

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