面向5G-R的链路级传输速率仿真技术

Link-level transmission rate simulation technology for 5G-R

摘要:

为帮助基于5G技术的铁路新一代移动通信(5G-R)系统在复杂铁路环境中确定基站间距，提出一种链路级传输速率仿真技术。该技术依托多种经验传播模型，获取电磁波在铁路沿线不同场景中的路径损耗，进而评估无线链路的参考信号接收功率(RSRP)。基于得到的RSRP数据，通过蒙特卡罗仿真方法计算链路级传输速率。仿真结果表明，对于开阔场景，基站间距可设置在2 000~3 000 m之间；在城市和复杂地形中，间距应缩短以维持性能。该技术能够反映5G-R系统在不同场景中的信号传输特性，包括不同基站间距下传输速率和RSRP的变化，为后续5G-R系统的基站部署规划提供了科学依据。

Abstract:

To assist in determining the base station spacing for the new generation of mobile communication systems for 5G-Railway(5G-R) in complex railway environments, a link-level transmission rate simulation technology is proposed. This technology relies on various empirical propagation models to obtain the path loss of electromagnetic waves in different scenarios along the railway line, thereby assessing the Reference Signal Received Power(RSRP) of the wireless link. Based on the obtained RSRP data, link-level transmission rates are calculated by using the Monte Carlo simulation method. Simulation results indicate that in open-field scenarios, base station spacing can be set between 2 000 meters to 3 000 meters, while in urban and complex terrain environments, the spacing should be reduced to maintain performance. This technique accurately reflects the signal transmission characteristics of 5G-R systems across various scenarios, including the changes in transmission rate and RSRP with different base station spacings. And it provides a scientific basis for future base station deployment planning in 5G-R systems.