Finite state Markov modelling for high speed railway wireless communication channel

2012 ◽  
Author(s):  
Siyu Lin ◽  
Zhangdui Zhong ◽  
Lin Cai ◽  
Yuanqian Luo
Keyword(s):  
Wireless Communication ◽  
High Speed ◽  
Communication Channel ◽  
Markov Modelling ◽  
High Speed Railway ◽  
Finite State

Analysis of Dropped-Call Probability in Relay-Based High Speed Railway Environment

2015 ◽  
Vol 738-739 ◽  
pp. 1129-1132
Author(s):  
Yun Ze Li ◽  
Xin Yu Jin ◽  
Duan Po Wu
Keyword(s):  
Wireless Communication ◽  
High Speed ◽  
Base Stations ◽  
Call Rate ◽  
Coverage Area ◽  
High Speed Railway ◽  
Ping Pong ◽  
Order Of Magnitude

In poor coverage area of high-speed railway, the frequent handoff will increase the dropped-call rate. An approach to improving the quality of wireless communication is adding a relay between two base stations. Paper is about analyzing the dropped-call caused by handoff in this scene. This paper proposed a model for dropped-call probability through analyzing the handoff probability, same frequency interference and ping-pong handoff. Based on the simulation and comparison of the dropped-call model, we found that putting a relay between the base stations can significantly improve the dropped-call problem, and the peek rate of dropped-call decreased by an order of magnitude.

scholarly journals Performance analysis of massive multiple input multiple output for high speed railway

2021 ◽  
Vol 11 (6) ◽  
pp. 5180
Author(s):  
Maharshi K. Bhatt ◽  
Bhavin S. Sedani ◽  
Komal Borisagar
Keyword(s):  
Wireless Communication ◽  
Massive Mimo ◽  
High Speed ◽  
Communication Channel ◽  
Multiple Input Multiple Output ◽  
High Mobility ◽  
Data Rate ◽  
High Speed Train ◽  
Multiple Input ◽  
Input Multiple Output

This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.

scholarly journals Investigation of Shadowing Effects in Typical Propagation Scenarios for High-Speed Railway at 2350 MHz

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Liu Liu ◽  
Cheng Tao ◽  
David W. Matolak ◽  
Tao Zhou ◽  
Houjin Chen
Keyword(s):  
Wireless Communication ◽  
Mean Square Error ◽  
Exponential Function ◽  
High Speed ◽  
Test Method ◽  
Wide Sense ◽  
Mean Square ◽  
Matching Model ◽  
High Speed Railway ◽  
Correlation Models

Based on realistic measurements in China, shadowing characteristics at the frequency of 2350 MHz were investigated in typical High-Speed Railway environments. After confirming that the measured shadowing satisfies wide-sense stationarity (assessed via the reverse arrangement test method), we quantify the shadowing correlation. Three types of correlation models are compared for the shadowing characterization, and the Normalized Mean Square Error is used to determine the best matching model: a single decaying exponential function. Decorrelation distances were found to be 11.9 m, 17.7 m, and 8.3 m in our three HSR scenarios, respectively. The results should be useful for the evaluation and verification of wireless communication in High-Speed Railway scenarios.

Finite-State Markov Modeling for High-Speed Railway Fading Channels

2015 ◽  
Vol 14 ◽  
pp. 954-957 ◽  
Author(s):  
Siyu Lin ◽  
Linghe Kong ◽  
Liang He ◽  
Ke Guan ◽  
Bo Ai ◽  
...  
Keyword(s):  
Fading Channels ◽  
High Speed ◽  
Markov Modeling ◽  
High Speed Railway ◽  
Finite State
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