基于多源异构数据融合与RT的高铁网络优化系统

High-speed railway network optimization system based on multi-source heterogeneous data fusion and Ray Tracing

在高速铁路建设中,采用的电力拖车、路堑、站台、桥梁、明洞等特殊、形状不规则的建筑物,会对电磁波传播机理和多通路产生一定的影响,使其呈现出明显的衰减特性。从空间上看,呈现出强烈的空间异同性和频度相关,从而导致经验模型无法准确表征铁路场景的电波传播特性,成为制约无线网络规划精确度与效率、限制铁路移动通信系统高质量发展的理论瓶颈之一。针对这一挑战性难题,本文开展了基于多源异构数据融合的铁路移动通信高精确度网络规划及优化系统研究。采用高性能射线跟踪(RT)技术针对铁路通信930 MHz频段下的高铁场景进行了网络优化仿真。仿真结果表明,90%的接收信号强度相较于优化前提高了13.9 dB,显著提升了铁路复杂场景中的无线网络质量。

Special and irregular structures such as electric traction frame,cutting,station,bridge crossing,open cut tunnel and so on in the high-speed railway scene experience different propagation mechanism and multipath effect on radio wave propagation from other scenes,which makes radio wave present unique loss and fading characteristics,with high spatial heterogeneity and frequency dependence.As a result,the empirical model cannot accurately represent the radio wave propagation characteristics of the railway scene,which has become one of the theoretical bottlenecks restricting the accuracy and efficiency of wireless network planning and the high-quality development of the railway mobile communication system.Aiming at this challenging problem,research on high-precision network planning and optimization system of railway mobile communication is carried out based on multi-source heterogeneous data fusion.High performance Ray Tracing(RT)technology is employed to optimize the network simulation of high-speed railway scenes 930 MHz band of railway communication.The simulation results show that 90%of the received signal strength is 13.9 dB higher than that before optimization,which significantly improves the wireless network quality in complex railway scenes.