论文标题
射线追踪5G频道来自具有对车辆和行人的机动性控制的场景
Ray-Tracing 5G Channels from Scenarios with Mobility Control of Vehicles and Pedestrians
论文作者
论文摘要
毫米波是达到高比特率的5G网络策略之一。使用这些信号的测量活动很困难，需要昂贵的设备。为了生成现实数据，本文完善了5G通道虚拟测量的方法，该方法将城市移动性的模拟与射线追踪模拟器结合在一起。城市移动性模拟器负责控制移动性，在每个场景中定位行人和车辆，同时反复调用射线追踪模拟器，从而模拟接收器与发射器之间的相互作用。两个模拟器之间的编排都是使用Python软件完成的。为了检查现实主义如何影响计算成本，在面部数量和仿真时间之间进行了数值分析。
Millimeter waves is one of 5G networks strategies to achieve high bit rates. Measurement campaigns with these signals are difficult and require expensive equipment. In order to generate realistic data this paper refines a methodology for virtual measurements of 5G channels, which combines a simulation of urban mobility with a ray-tracing simulator. The urban mobility simulator is responsible for controlling mobility, positioning pedestrians and vehicles throughout each scene while the ray-tracing simulator is repeatedly invoked, simulating the interactions between receivers and transmitters. The orchestration among both simulators is done using a Python software. To check how the realism can influence the computational cost, it was made a numerical analyze between the number of faces and the simulation time.
