Handover Technology Using Embedded In High Speed Railway Communication

Authors

  • Dr. Sasikumar A.  Assistant professor, Department of EEE, K. Ramakrishnan College of technology (Autonomous), Samayapuram, Trichy, Tamil Nadu, India
  • K. Dhanyasri  Student, Department of EEE, K. Ramakrishnan College of technology (Autonomous), Samayapuram, Trichy, Tamil Nadu, India
  • S. Bhuvaneshwari  Student, Department of EEE, K. Ramakrishnan College of technology (Autonomous), Samayapuram, Trichy, Tamil Nadu, India
  • M. Durgadharshi  Student, Department of EEE, K. Ramakrishnan College of technology (Autonomous), Samayapuram, Trichy, Tamil Nadu, India

Keywords:

Wireless Communication, Railway Communication

Abstract

In the evolution of the railway system,the railway has brought more frequent handovers.This article provides the information in the continous exchanging of information between the trains while crossing and passing the information to the gates.

References

  1. R. Chen, W.-X. Long, G. Mao, and C. Li, “Development trends of mobile communication systems for railways,” IEEE Commun. Surveys Tuts., vol. 20, no. 4, pp. 3131–3141, 4th Quart., 2018.
  2. J. Ding, L. Zhang, J. Yang, B. Sun, and J. Huang, “Broadband wireless channel in composite high-speed railway scenario: Measurements, sim- ulation, and analysis,” Wireless Commun. Mobile Comput., vol. 2017, pp. 1–15, Jan. 2017.
  3. J. Zhao, Y. Liu, C. Wang, L. Xiong, and L. Fan, “High-speed based adaptive beamforming handover scheme in LTE-R,” IET Commun., vol. 12, no. 10, pp. 1215–1222, Jun. 2018.
  4. H. Cho, S. Shin, G. Lim, C. Lee, and J.-M. Chung, “LTE-R handover point control scheme for high-speed railways,” IEEE Wireless Commun., vol. 24, no. 6, pp. 112–119, Dec. 2017.
  5. H. Cho et al., “Handover based on maximum cell residence time and adaptive TTT for LTE-R high-speed railways,” KSII Trans. Internet Inf. Syst., vol. 11, no. 8, pp. 1–16, 2017.
  6. P. Jayaram and R. Menaka, “Performance evaluation of modiļ¬ed hybrid handover scheme in LTE fast moving rail networks,” Int. J. Wireless Mobile Comput., vol. 12, no. 1, pp. 96–106, 2017.
  7. C. Wu and Y. Wang, “Cognitive communication in rail transit: Awareness, adaption, and reasoning,” IT Prof., vol. 19, no. 4, pp. 45–54, 2017.
  8. C. Wu, Y. Wang, and Z. Yin, “Realizing railway cognitive radio:A reinforcement base-station multi-agent model,” IEEE Trans. Intell. Transp. Syst., vol. 20, no. 4, pp. 1452–1467, Apr. 2019.
  9. R. D. Hegazy, O. A. Nasr, and H. A. Kamal, “Optimization of user behavior based handover using fuzzy Q-learning for LTE networks,” Wireless Netw., vol. 24, no. 2, pp. 481–495, Feb. 2018.
  10. R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction. Cambridge, MA, USA: MIT Press, 2018.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Sasikumar A., K. Dhanyasri, S. Bhuvaneshwari, M. Durgadharshi, " Handover Technology Using Embedded In High Speed Railway Communication, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.1065-1067, March-April-2021.