A network simulation method and device

Abstract

The embodiment of the present application discloses a network simulation method and device, which relate to the field of data storage and solve the problems in the prior art that the correction error of the propagation model of the low-precision map is too large and the prediction accuracy is not ideal. The specific plan is: modify the initial map according to the satellite map to obtain the first revised map; set the initial object height of the first modified map to obtain the second modified map, and the initial object height is within the average height range of the first modified map. within; based on the second revised map, the preset propagation model is initially corrected to obtain the first propagation model; A propagation model is calibrated to obtain a target propagation model. The solutions provided in the embodiments of the present application are suitable for network simulation.

Description

technical field [0001] The embodiments of the present application relate to the field of communication technologies, and in particular, to a network simulation method and apparatus. Background technique [0002] In wireless network planning simulation applications, the main factors that affect the accuracy of simulation results include engineering parameter configuration, propagation model and map accuracy. Among them, the engineering parameter configuration can be as accurate as possible through manual verification, while the map accuracy is usually limited by the area and investment. In general, high-precision map environments can choose a deterministic model, which has a higher relative accuracy, while in low-precision map environments, only statistical models can usually be used. [0003] At present, low-precision maps (such as 20m, 50m precision maps, etc.) only consider the altitude in the simulation prediction of wide coverage, and do not consider the blocking situati...

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Problems solved by technology

[0002] In the application of wireless network planning simulation, the main factors affecting the accuracy of simulation results include the configuration of industrial parameters, propagation model and map accuracy. Among them, the configuration of industrial parameters can be as accurate as possible through manual verification, while the accuracy of maps is usually limited by the area and investment. Generally, a deterministic model can be selected in a high-precision map environment, and the relative accuracy is relatively high, while in a low-precision map environment, usually only a statistical model can be used

[0003] At present, low-precision maps (such as 20m, 50m precision maps, etc.) only consider the altitude when performing wide-coverage simulation predictions, and do not consider blocking situations such as buildings. Therefore, in the case of uneven distribution of ground objects and blocking distribution When correcting and simulating the propagation model, the traditional statistical method will lead to large model calibration errors and unsatisfactory prediction accuracy; at the same time, due to the limitation of precision, low-precision maps are prone to errors in the definition of the types of features in rural areas and other areas, and it is also difficult to will affect the prediction accuracy

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