Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Yunshui Zheng,Zhongqing Wu This email address is being protected from spambots. You need JavaScript enabled to view it.,Junting Lin

School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China.


 

Received: January 14, 2019
Accepted: November 23, 2019
Download Citation: ||https://doi.org/10.6180/jase.202003_23(1).0005  

ABSTRACT


Due to the particularity of radio wave propagation characteristics in railway scenarios, the relationship between the scenarios and radio wave propagation loss has yet to be studies. In this paper, several common wireless channel path loss models of public network and the path loss measurement data of railway deep cutting scenarios are compared and analyzed, the correlation degree between the structural parameters and the path loss exponent of cutting scenarios is calculated, and the correlation between the parameters of cutting scenarios and ideal cutting scenarios is analyzed. The preliminary conclusion is that the Hata model in open ground environment conforms better to the path loss characteristics of the high-speed railway’s cutting scenario. The width of width sum and the width difference between crown and bottom of cutting scenarios are closely related to the path loss exponent. And the path loss exponent is more reasonable when the cutting scenarios parameters are within a certain range. The research results have some guiding significance for the collaborative work between cutting scenarios construction and wireless network construction.


Keywords: cutting scenario; path loss model; path loss exponent; grey relational algorithm



REFERENCES


  1. [1] Z. D. Zhong, B. Ai, K. Guan, et al. (2016) Research on the Theories and Methods of Wireless Channels under High Speed Railway Scenarios, Journal of Beijing Jiaotong University, 40 (04): 65-69.
  2. [2] J. H. Lu, (2013) Research on Radio Channel Characteristics of the High Speed Railway. Ph.D. Desertation, Beijing Jiaotong University, China.
  3. [3] L. Wang. (2014) Wireless Channel Modeling and Simulation for High-speed Railway Viaduct Scenario. Master Dissertation, Southwest Jiaotong University, China.
  4. [4] W. Zhang, S. L. Wang, et al. (2016) Fundamentals of Wireless Communications. Science Press. Beijing, chapter 2.
  5. [5] J. Q. Guo,C. Li. (2008) Mobile Communication. Peking University Press. Beijing, chapter 2
  6. [6] M. Li. (2016) Research on Wireless Channel Model in High-Speed Railway. Master Dissertation, Southwest Jiaotong University, China.
  7. [7] L. Liu, C. Tao, H. J. Chen, et al. (2014) Survey of Wireless Channel Measurement and Characterization for High-speed Railway Scenarios. Journal on Communications, 35 (01): 115-127.
  8. [8] C. H. Zhu, J. K. Yao, T. J. Yang. (2015) Review on Wireless Channel Modeling Method. Wireless Internet Technology, (16): 26-27.
  9. [9] W. P. Cheng. (2014) Wireless Channel Modeling for High Speed Railway Environments Based on Theoretical Methods. Master Dissertation, Beijing Jiaotong University, China.
  10. [10] Y. Liao, Y. Hu. (2017) High-speed Mobile Time-varying Channel Modeling under U-shaped Groove. Journal of Computer Application, 37 (10): 2735-2741+2747.
  11. [11] G. Y. Jia. (2014) The Research and Analysis of Wireless Channel Model for High-Speed Railway. Master Dissertation, Beijing University of Posts and Telecommunications, China.
  12. [12] R. S. He, Z. D. Zhong, B. Ai, et al. “Propagation Measurements and Analysis of Fading Behavior for High Speed Rail Cutting Scenarios,” IEEE Global Communications Conference, Anaheim, CA, USA: 5015 - 5020. (2012).
  13. DOI:10.1109/GLOCOM.2012.6503915
  14. [13] R. S. He, Z. D. Zhong, B. Ai, et al. (2011) Propagation Measurements and Analysis for High-speed Railway Cutting-scenario. Electronics Letters, 47(21):1167-1168. DOI:10.1049/el.2011.2383
  15. [14] R. S. He, Z. D. Zhong, B. Ai, et al. (2013) Measurements and Analysis of Propagation Channels in High-speed Railway Viaducts. IEEE Transactions on Wireless Communications, (12):794-805. DOI:10.1109/TWC.2012.120412.120268
  16. [15] R. S. He, Z. D. Zhong, B. Ai, et al. (2011) An Empirical Path Loss Model and Fading Analysis for High-speed Railway Viaduct Scenarios. IEEE Antennas and Wireless Propagation Letters, (10):808-812. DOI:      10.1109/LAWP.2011.2164389
  17. [16] J. B. Zou, H. Xie, B. Ai, et al. (2018) Analysis of Modeling and Performance of Massive MIMO Channels under High-speed Mobile Scenarios. Journal of the China Railway Society, 40(04):68-73.
  18. [17] J. H. Qiu, C. Tao, L. Liu, et al. (2014) Research on Measurement and Modeling of Wireless Channel Multipath Propagation for U-Shape Cutting. Journal of the China Railway Society, 36(01):40-48.
  19. [18] L. Liu, C. Tao, J. H. Qiu, et al. (2011) Research on Broadband Wireless Channel Sounding Methods for High-speed Railway. Journal of the China Railway Society, 33(05):48-53.
  20. [19] T. Zhou, C. Tao, L. Liu, et al. (2013) Measurement-based Research on Ricean K-factor of Broad-band Wireless Channel in high-speed railway circumstances. Journal of the China Railway Society, 35(09):72-78.
  21. [20] Cristina Rico García, Andreas Lehner, Thomas Strang, et al. “Channel Model for Train to Train Communication Using the 400MHz Band,” VTC Spring 2008-IEEE Vehicular Technology Conference, Singapore: 3082 – 3086 (2008). DOI:10.1109/VETECS.2008.336
  22. [21] Jhihoon Joo, Odongo Steven Eyobu, Dong Seog Han. “Measurement Based V2V Path Loss Analysis in Urban NLOS Scenarios,” 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), Vienna, Austria: 73-75 (2016). DOI:  10.1109/ICUFN.2016.7536984
  23. [22] J. H. Guo, C. L.(2008).Mobile Communication,1st ed., Peking University Press, Beijing, Chapter 2.


    



 

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