Software-defined railway wireless communication network

被引:0
|
作者
Wang K. [1 ,2 ,3 ]
Zhang Q. [2 ,3 ]
Liu C. [2 ,3 ]
Du Y. [4 ]
Chen N. [1 ,2 ,3 ]
Gao Y. [1 ,3 ]
机构
[1] Postgraduate Department, China Academy of Railway Sciences, Beijing
[2] Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing
[3] National Research Center of Railway Intelligence Transportation System Engineering Technology, Beijing
[4] Beijing Research Institute of Telemetry, Beijing
关键词
Dynamic adaptation; Markov decision process; Railway wireless communication; Software-defined network; Virtualization;
D O I
10.16511/j.cnki.qhdxxb.2018.22.059
中图分类号
学科分类号
摘要
Railway wireless data communications have problems with insufficient bandwidth and poor reliability. This paper describes a railway software-defined wireless communication network (RailSDN) which separates the control plane from the data plane, enables heterogeneous network interoperability among operators, provides user logical isolation using virtualization, and provides transparent data transmission for users. A network resource scheduling model is developed based on a Markov decision process which takes into account various factors such as the infrastructure network status and the user requirements. The system searches for the optimal link allocation with the optimization goal being to satisfy user demand and dynamically adapts to the user requirements for the network resources. Tests show that this railway wireless communication network is scalable, enables flexible customization of user demand, and improves the network resources utilization efficiency. © 2019, Tsinghua University Press. All right reserved.
引用
收藏
页码:142 / 147
页数:5
相关论文
共 16 条
  • [1] Sniady A., Soler J., An overview of GSM-R technology and its shortcomings, Proceedings of International Conference on ITS Telecommunications, pp. 626-629, (2012)
  • [2] He R.S., Ai B., Wang G.P., Et al., High-speed railway communications: From GSM-R to LTE-R, IEEE Vehicular Technology Magazine, 11, 3, pp. 49-58, (2016)
  • [3] Liu F., Wang Y.F., Architecture of unified network based on programmable control gateway, Journal of Beijing University of Aeronautics and Astronautics, 41, 10, pp. 1959-1965, (2015)
  • [4] Kreutz D., Ramos F.M.V., Verissimo P.E., Et al., Software-defined networking: A comprehensive survey, Proceedings of the IEEE, 103, 1, pp. 14-76, (2015)
  • [5] Benzekki K., Fergougui A.E., Elalaoui A.E., Software-defined networking (SDN): A survey, Security & Communication Networks, 9, 18, pp. 5803-5833, (2016)
  • [6] Rangisetti A.K., Tamma B.R., Software defined wireless networks: A survey of issues and solutions, Wireless Personal Communications, 97, 4, pp. 6019-6053, (2017)
  • [7] Dong W., Chen G.L., Cao C.H., Et al., Towards a software-defined architecture for wireless sensor networks, Chinese Journal of Computers, 40, 8, pp. 1779-1797, (2017)
  • [8] Xu S., Wang X.W., Huang M., Software-defined next-generation satellite networks: Architecture, challenges, and solutions, IEEE Access, 6, pp. 4027-4041, (2018)
  • [9] Trivisonno R., Guerzoni R., Vaishnavi I., Et al., SDN-based 5G mobile networks: Architecture, functions, procedures and backward compatibility, Transactions on Emerging Telecommunications Technologies, 26, 1, pp. 82-92, (2015)
  • [10] Sun W.Q., Li H.W., Wu J.P., Fast mobility solutions in software-defined networks, Journal of Tsinghua University (Science and Technology), 55, 8, pp. 900-905, (2015)