ChinaCom 2016: Communications and Networking pp 431-440 | Cite as

Impact of Doppler Shift on LTE System in High Speed Train Scenario

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 210)

Abstract

Single Frequency Network (SFN) is considered as a vital deployment method in High Speed Train (HST) scenario. HST channel model is of much importance to LTE performance assessment. And SFN channel models are non-stationary. Since the train moves fast, the impact of Doppler rises significantly. The consideration of the effect of Doppler shift in SFN scenario is of much difference from in traditional stationary channels. In this paper, we build a link level simulation system and evaluate the performance of TD-LTE system with single-tap and two-tap SFN High Speed Train (HST) channel models without frequency compensation. The results show that when the Doppler shift exceeds 1000 Hz, the performance degrades much more obviously. Additionally, the absolute value of Doppler shift has great influence on TD-LTE system and the impact of Doppler shift variation on the system performance is not obvious. This paper provides reference for the design of next generation railway mobile communication system and lay a foundation for the LTE high-speed adaptability research.

Keywords

LTE Doppler shift Performance evaluation SFN channel model 

Notes

Acknowledgment

This work was supported by the National Natural Science Foundation of China under Grant 61471030, the Fundamental Research Funds for the Central Universities under Grant 2014JBZ021, National Science and Technology Major Project (2015ZX03001027-003), the Research Fund of Beijing Municipal Science & Technology Commission (No. Z151100002415029), the State Key Laboratory of Rail Traffic Control and Safety under Grant RCS2016ZZ004, the Program for Development of Science and Technology of China Railway Corporation under grant 2014X013-A, the Fundamental Research Funds for the Central Universities.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Yu Zhang
    • 1
  • Lei Xiong
    • 1
  • Xuelian Yang
    • 1
  • Yuanchun Tan
    • 2
  1. 1.State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijingChina
  2. 2.Beijing Xinwei Telecom Technology Group Co., LtdBeijingChina

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