Research On Intelligent Wireless Network Planning Technology For New Generation Of Mobile Communication Scenarios Along Railroad Lines

The primary driving engine of development is scientific and technological innovation.Strong transportation,railroad first.As an important support of modern economic construction,railroad science and technology innovation is not only the core catalyst to accelerate the high-quality development of the railroad but also the core driving force to promote the rapid development of modern economic construction.So it is crucial to speed up the research on the core key technologies for railroad private networks for the process of railroad intelligence.In the construction of the whole railroad system,the railroad mobile communication system is not only the cornerstone of railroad transportation and comprehensive dispatching command but also the communication bridge connecting other systems.So the reasonable design of a railroad mobile communication system to ensure communication quality is especially critical to the construction of the whole railroad system.Based on this,the research of intelligent wireless network planning technology for the new generation of mobile communication scenarios along the railroad is of great importance for the rational design of railroad mobile communication systems.This thesis selects a communication scenario along a section of the railroad line at the north exit of Xiamen.Based on the high-performance ray-tracing technology’s ability to accurately model wireless channels and the particle swarm intelligent optimization algorithm’s ability to automatically iterate for optimal solutions,a ray-tracing-based intelligent wireless network planning technology is designed,and a 5G coverage linkage display platform is designed based on the Web GIS system.This thesis mainly researches and accomplishes the following work:(1)Based on the measured data in urban communication scenario and mountain communication scenario,deterministic channel modeling is performed for these two scenarios and the ray-tracing model is calibrated.Based on the corrected material electromagnetic parameters,ray-tracing simulations are performed again for these two scenarios.And the accuracy of the ray-tracing model for predicting large-scale channel characteristics parameters is verified by comparing the errors between the measured and simulated data.(2)Considering the engineering application problems of the planning of wireless networks in communication scenarios along railroad lines,a wireless network planning algorithm for intelligent planning of base station location and angle for the new generation of railroad mobile communication is designed based on high-performance ray tracing technology and particle swarm intelligent optimization algorithm.The 5G coverage linkage display platform is designed based on the Web GIS system.(3)Take the communication scenario along the railroad line of Xiamen North as an example,according to the wireless network planning goals,the algorithm is used to first carry out base station location planning.Secondly,on the basis of location planning,its angle is further planned.And then visualizing the results after location planning and angle planning.Finally,the feasibility of the algorithm is verified by analyzing and comparing the results of base station position and angle planning.In summary,the intelligent wireless network planning technology for railroad private networks designed in this thesis based on high-performance ray-tracing technology and particle swarm intelligent optimization algorithm can,to a certain extent,help wireless network planners and designers to better carry out wireless network planning and also provide a new reference idea for the implementation of intelligent wireless network planning in the future.The relevant results of the thesis have been applied to the intelligent wireless network planning and optimization of Fuxia high-speed railway scenarios.