Network simulation method and server

Abstract

Embodiments of the present invention provide a network simulation method and a server. The method comprises: obtaining a sample of a Signal and Interference plus Noise Ratio (SINR), wherein the SINR is obtained based on a history simulation model; and performing statistical analysis on the sample of the SINR to generate an SINR statistical model. The embodiments of the present invention utilize the SINR obtained based on the history simulation model as a statistical sample to perform statistical analysis so as to generate the SINR statistical model. The generated SINR statistical model, which does not need to be obtained through actual measurement, can be utilized for link simulation. Therefore, manpower, material resources, and time are saved, costs are reduced and simulation efficiency is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of communications, and more specifically, to a network simulation method and a server. Background technique [0002] The research and development of modern wireless mobile communication technology largely depends on the use of simulation technology. Wireless communication simulation can be divided into link-level simulation, system-level simulation and network-level simulation according to the research level. The accuracy of system-level / network-level simulation depends to a certain extent on the simulation accuracy of a single link in the system / network. The closer the performance of a single link simulation is to the performance of a real link, the better the performance of the system / network simulation. The closer to the performance of real system / network simulation. However, on the one hand, a more accurate link-level simulation model means greater simulation overhead (such as...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, a statistical model can be used to generate SINR (Signal to Interference plus Noise Ratio, signal to interference plus noise ratio), but the samples of the statistical model are obtained by actual measurement in a specific environment, and the input parameter combination There are many, and the number of statistical models that need to be determined to generate SINR is also large

Therefore, it takes a lot of manpower, material resources and time, and it is impossible to provide SINR statistical models under different input parameter combinations when the simulation program is constructed.

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