Research on the wireless channel statistical characteristics of high-speed railway based on big data

2016 ◽  
Author(s):  
J. B. Zhang ◽  
Y. H. Wen ◽  
Z. H. Tan
Keyword(s):  
Big Data ◽  
High Speed ◽  
Wireless Channel ◽  
Statistical Characteristics ◽  
High Speed Railway

scholarly journals Broadband Wireless Channel in Composite High-Speed Railway Scenario: Measurements, Simulation, and Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Jianwen Ding ◽  
Lei Zhang ◽  
Jingya Yang ◽  
Bin Sun ◽  
Jiying Huang
Keyword(s):  
Ray Tracing ◽  
Communication Systems ◽  
High Speed ◽  
Channel Model ◽  
High Reliability ◽  
Rapid Development ◽  
Path Loss ◽  
Wireless Channel ◽  
Delay Spread ◽  
High Speed Railway

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.

scholarly journals Modeling and Optimization of Wireless Channel in High-Speed Railway Terrain

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 84961-84970 ◽  
Author(s):  
Jianli Xie ◽  
Cuiran Li ◽  
Wenbo Zhang ◽  
Ling Liu
Keyword(s):  
High Speed ◽  
Wireless Channel ◽  
High Speed Railway ◽  
Modeling And Optimization

scholarly journals Wireless Channel Measurements and Modeling of LTE Broadband System for High-Speed Railway Scenarios

2018 ◽  
Vol 27 (5) ◽  
pp. 1092-1097
Author(s):  
Hua Zhao ◽  
Qing Lyu ◽  
Yachuan Liu ◽  
Jiaxing Chen ◽  
Shujing Zhang
Keyword(s):  
High Speed ◽  
Wireless Channel ◽  
Channel Measurements ◽  
High Speed Railway

scholarly journals Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Fengyu Luan ◽  
Yan Zhang ◽  
Limin Xiao ◽  
Chunhui Zhou ◽  
Shidong Zhou
Keyword(s):  
High Speed ◽  
Path Loss ◽  
Special Property ◽  
Wireless Channel ◽  
Shadow Fading ◽  
Hilly Terrain ◽  
High Speed Railway ◽  
Measurement And Analysis ◽  
Communication System Design ◽  
Highly Correlated

This paper focuses on the fading characteristics of wireless channel on High-Speed Railway (HSR) in hilly terrain scenario. Due to the rapid speed, the fading characteristics of HSR channel are highly correlated with time or Transmit-Receive distance and have their own special property. To investigate the fading characteristics, the measurement is conducted on the Guangzhou-Shenzhen passenger-dedicated line in China with the speed of 295 km/h in the data-collection area at 2.4 GHz. From the measured data, the amplitude of each path is estimated by using the Subspace-Alternating Generalized Expectation-Maximization (SAGE) algorithm along with other parameters of channel impulse responses. Then the fading parameters, including path loss, shadow fading, andK-factor, are analysed. With the numerical results in the measurement and analysis, the fading characteristics have been revealed and modelled. It is supposed that this work has a promotion for HSR communication system design and improvement.

Position-Based Modeling for Wireless Channel on High-Speed Railway under a Viaduct at 2.35 GHz

2012 ◽  
Vol 30 (4) ◽  
pp. 834-845 ◽  
Author(s):  
Liu Liu ◽  
Cheng Tao ◽  
Jiahui Qiu ◽  
Houjin Chen ◽  
Li Yu ◽  
...  
Keyword(s):  
High Speed ◽  
Wireless Channel ◽  
High Speed Railway

scholarly journals Cluster Coordination between High-speed Rail Transportation Hub Construction and Regional Economy Based on Big Data

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Liang Zhao ◽  
Yuanhua Jia
Keyword(s):  
Big Data ◽  
High Speed ◽  
Regional Economy ◽  
Added Value ◽  
Gdp Per Capita ◽  
Rail Transportation ◽  
Railway Transportation ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Per Capita

As people’s lives get better and better, more and more people choose to travel and with that comes the demand for more transportation. For now, traditional transportation hubs can temporarily meet people’s travel needs. If driven by big data concepts and methods, the various capabilities of high-speed rail transportation hubs will be sublimated, and the regional economy will be in line with the prosperity of this place. Proportionally, railway hubs are extremely attractive to the rapid growth of the regional economy. This paper takes the high-speed railway hub construction model under big data as the research object and verifies the reliability of the research model and the development of economic regions based on the high-speed railway data in recent years as reference parameters. This article selects the panel data of railway transportation and regional economy in China’s provinces for 10 consecutive years from 2011 to 2020. Among them, seven indicators were selected for railway transportation: passenger volume, freight volume, passenger turnover, cargo turnover, number of railway employees, railway transportation industry fixed asset investment and construction scale, and per capita railway network density. In terms of regional economy, six indicators were selected: regional GDP, per capita GDP, per capita investment in fixed assets, per capita total retail sales of consumer goods, per capita investment in imports and exports, and the proportion of the added value of the tertiary industry in GDP. The experimental results prove that each sample is tested in pairs, the standard error level of the mean is 0.002, which is less than 0.05, and high-speed railway construction can finally achieve economic integration. By improving the development of high-speed railways, continuously shortening the distance between time and space, breaking regional trade barriers, and reducing the cost of commodity circulation, industrial interaction and coordinated development between different regions can be effectively promoted.

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