LTE-based Wireless Channel Modeling on High-Speed Railway at 465MHz

Author(s):  
Yanfei Niu ◽  
Jianwen Ding ◽  
Dan Fei ◽  
Zhangdui Zhong ◽  
Yanbing Liu
2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Bo Ai ◽  
Ruisi He ◽  
Zhangdui Zhong ◽  
Ke Guan ◽  
Binghao Chen ◽  
...  

Radio wave propagation scene partitioning is necessary for wireless channel modeling. As far as we know, there are no standards of scene partitioning for high-speed rail (HSR) scenarios, and therefore we propose the radio wave propagation scene partitioning scheme for HSR scenarios in this paper. Based on our measurements along the Wuhan-Guangzhou HSR, Zhengzhou-Xian passenger-dedicated line, Shijiazhuang-Taiyuan passenger-dedicated line, and Beijing-Tianjin intercity line in China, whose operation speeds are above 300 km/h, and based on the investigations on Beijing South Railway Station, Zhengzhou Railway Station, Wuhan Railway Station, Changsha Railway Station, Xian North Railway Station, Shijiazhuang North Railway Station, Taiyuan Railway Station, and Tianjin Railway Station, we obtain an overview of HSR propagation channels and record many valuable measurement data for HSR scenarios. On the basis of these measurements and investigations, we partitioned the HSR scene into twelve scenarios. Further work on theoretical analysis based on radio wave propagation mechanisms, such as reflection and diffraction, may lead us to develop the standard of radio wave propagation scene partitioning for HSR. Our work can also be used as a basis for the wireless channel modeling and the selection of some key techniques for HSR systems.


2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Jianwen Ding ◽  
Lei Zhang ◽  
Jingya Yang ◽  
Bin Sun ◽  
Jiying Huang

The rapid development of high-speed railway (HSR) and train-ground communications with high reliability, safety, and capacity promotes the evolution of railway dedicated mobile communication systems from Global System for Mobile Communications-Railway (GSM-R) to Long Term Evolution-Railway (LTE-R). The main challenges for LTE-R network planning are the rapidly time-varying channel and high mobility, because HSR lines consist of a variety of complex terrains, especially the composite scenarios where tunnels, cuttings, and viaducts are connected together within a short distance. Existing researches mainly focus on the path loss and delay spread for the individual HSR scenarios. In this paper, the broadband measurements are performed using a channel sounder at 950 MHz and 2150 MHz in a typical HSR composite scenario. Based on the measurements, the pivotal characteristics are analyzed for path loss exponent, power delay profile, and tap delay line model. Then, the deterministic channel model in which the 3D ray-tracing algorithm is applied in the composite scenario is presented and validated by the measurement data. Based on the ray-tracing simulations, statistical analysis of channel characteristics in delay and Doppler domain is carried out for the HSR composite scenario. The research results can be useful for radio interface design and optimization of LTE-R system.


2011 ◽  
Author(s):  
P. Sri Saini ◽  
Shanthi Prince ◽  
P. Predeep ◽  
Mrinal Thakur ◽  
M. K. Ravi Varma

Author(s):  
Theofilos Chrysikos ◽  
Stavros Kotsopoulos ◽  
Eduard Babulak

The aim of this chapter is to summarize and present recent findings in the field of wireless channel modeling that provide a new method for the reliable calculation of the statistical parameters of large-scale variations of the average received signal (shadow fading). This algorithm is theoretically based on a path loss estimation model that incorporates losses due to walls and floors. This has been confirmed to be the most precise mathematical tool for average signal strength prediction for various frequencies of interest and propagation environments. The total path loss is estimated as a sum of two independent attenuation processes: free space loss and losses due to obstacles. This solution allows for a direct and reliable calculation of the deviation of the fluctuations of the average received signal in an obstacle-dense environment.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 84961-84970 ◽  
Author(s):  
Jianli Xie ◽  
Cuiran Li ◽  
Wenbo Zhang ◽  
Ling Liu

2018 ◽  
Vol 56 (5) ◽  
pp. 177-183 ◽  
Author(s):  
Ruisi He ◽  
Bo Ai ◽  
Andreas F. Molisch ◽  
Gordon L. Stuber ◽  
Qingyong Li ◽  
...  

2018 ◽  
Vol 27 (5) ◽  
pp. 1092-1097
Author(s):  
Hua Zhao ◽  
Qing Lyu ◽  
Yachuan Liu ◽  
Jiaxing Chen ◽  
Shujing Zhang

2016 ◽  
Vol 54 (7) ◽  
pp. 93-99 ◽  
Author(s):  
Paul Ferrand ◽  
Mustapha Amara ◽  
Stefan Valentin ◽  
Maxime Guillaud

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