Method and device for determining field intensity distribution of communication network

Abstract

The invention discloses a method and a device for determining a field intensity distribution of a communication network. The method comprises the steps of obtaining outdoor grids in a target area, wherein the outdoor grids refer to grids not fallen into an inside of a building, and one grid is a space area with a set size; according to the outdoor grids as well as a space position of the grid where a target transmitting antenna in the target area locates, determining path losses from the outdoor grids to the target transmitting antenna; and according to transmitting power of the target transmitting antenna as well as the path losses from the outdoor grids to the target transmitting antenna, determining field intensities of the target transmitting antenna in the outdoor grids. Furthermore, based on the determined field intensities of the target transmitting antenna in the outdoor grids, field intensities of the target transmitting antenna in indoor grids further can be determined. According to the method and the device, a field intensity prediction model which not only can reach a relatively high field intensity prediction precision and avoid a too large calculated amount, but also can be applied to a plurality of networks and a plurality of scenes can be established.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for determining the field strength distribution of a communication network. Background technique [0002] With the continuous growth of mobile communication traffic, the demand for network capacity continues to expand. Due to the limited frequency resources, in order to meet the needs of further expansion of network capacity and at the same time ensure the quality of the network, it is fundamentally necessary for the wireless communication system to be able to achieve reasonable and effective Network coverage, and reasonable and effective network coverage depends on higher precision field strength prediction. Therefore, the prediction of the field strength of the network signal in the communication network is the scientific basis for the design of the wireless communication network and the engineering design of the mobile communication system. [0003]...

AI Technical Summary

Problems solved by technology

The empirical model mainly uses the measured data to estimate the model parameters without considering diffraction and reflection, so the implementation is relatively simple, but the accuracy is low; the semi-deterministic model is mainly aimed at some special scenes in the area where the field strength is predicted (such as figure 1 The scene shown) gives a refined calculation formula based on ray theory, so as to predict the field strength in these areas, and the application scene is limited; the deterministic model mainly uses the precise ray tracing method to calculate the distance from the antenna transmitting end to the antenna Every point that can be affected, fine electromagnetic wave ray simulation is performed, the calculation cost is high, and it cannot be adopted on a large scale

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