Railway Communication Network: A Case Study for Mobile Quality of Service

Cutifa Safitri


Trains, nowadays, are becoming a popular choice for a fast, comfortable, and cheaper way to travel. Train’s passengers on a long journey tend to occupy their time by accessing content through mobile devices. Cisco predicted Smartphone traffic will exceed PC traffic by 2020. With the increasing growth of content exchanged, there is a rising demand for managing content for mobile users. Without a significant improvement in railway network infrastructure, the Quality of Service (QoS) for communication in-carriage will degrade, compromising passengers’ experience in mobile communication. Moreover, due to the nature of the railway network that has to support a large group of users in a long journey period, the requested contents are usually bandwidthintensive with the need for continuous mobility support. In order to ensure mobile Quality of Service (mQoS), intelligent & dynamic content management is required to facilitate content distribution. Currently implemented a method to manage mobility heavily relies on a host-to-host connection. A proposal by Future Internet Architecture introduces content-centric networking with built-in mobility. The present paper consider scalability and QoS in high-speed mobility. Therefore, by using a content-centric network proposal, this research aims to propose railway communication networks that provide the solution of mobile QoS.


Railway Communication Network; Content-Centric Network; Quality of Service

Full Text:



Cisco White Paper, “Transitioning to Workforce 2020: Anticipating and managing the changes that will radically transform working life in the next decade,” Cisco Public Information, 2011.

Jacobson, V.; Smetters, D. K.; Thornton, J. D.; Plass, M. F.; Briggs, N.; Braynard, R. Networking named content. Proceedings of the 5th ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT 2009); 2009 December 1-4; Rome, Italy. NY: ACM; 2009; 1-12.

P. Valentino, G. Dan. "Convergence in player-specific graphical resource allocation games." IEEE Journal on Selected Areas in Communications 30, no. 11 (2012): 2190-2199.

Zhu, H. (2012). Radio resource allocation for OFDMA systems in high speed environments. IEEE Journal on Selected Areas in Communications, 30(4), 748-759.

Boushaba, A., Benabbou, A., Benabbou, R., Zahi, A., & Oumsis, M. (2014). Intelligent Multipath Optimized Link State Routing Protocol for QoS and QoE Enhancement of Video Transmission in MANETs. In Networked Systems (pp. 230-245). Springer International Publishing.

Beloglazov, A. and Buyya, R., 2013. Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints. IEEE Transactions on Parallel and Distributed Systems, 24(7), pp.1366-1379.

Shuminoski, T., & Janevski, T. (2015). 5G mobile terminals with advanced QoS-based user-centric aggregation (AQUA) for heterogeneous wireless and mobile networks. Wireless Networks, 1-18.

Jayabarathan, J. K., Avaninathan, S. R., & Savarimuthu, R. (2016). QoS enhancement in MANETs using priority aware mechanism in DSR protocol. EURASIP Journal on Wireless Communications and Networking, 2016(1), 1.

Gao, H., Ouyang, Y., Hu, H., & Koucheryavy, Y. (2013, April). A qos-guaranteed resource scheduling algorithm in high-speed mobile convergence network. In Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE (pp. 45-50). IEEE.

Xu, S., Zhu, G., Shen, C., & Ai, B. (2014). A QoS-aware scheduling algorithm for high-speed railway communication

system. arXiv preprint arXiv:1406.5354.

Zhou, Y., & Ai, B. (2014, November). Access control schemes for high-speed train communications. In High Mobility Wireless Communications (HMWC), 2014 International Workshop on (pp. 33-37). IEEE.

Xu, S., Zhu, G., Ai, B., & Zhong, Z. (2016). A survey on highspeed railway communications: A radio resource management perspective. Computer Communications, 86, 12-28.

Hordri, N. F., Yuhaniz, S. S., Nasien, D. (2013). A Comparison Study of Biogeography based Optimization for Optimization Problems. Int. J. Advance. Soft Comput. Appl, 5(1).

Berghida, M. Boukra, EBBO: an enhanced biogeography-based optimization algorithm for a vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows A. Int J Adv Manuf Technol (2015) 77: 1711. doi:10.1007/s00170-014-6512-1

Ali, H. M., Ashrafinia, S., Liu, J., & Lee, D. (2013, June). Broadband wireless network planning using evolutionary

algorithms. In 2013 IEEE Congress on Evolutionary Computation (pp. 1045-1052). IEEE.

Mobini, M. H., Entezari-Maleki, R., & Movaghar, A. (2012, October). Biogeography-based optimization of makespan and reliability in grid computing systems. In Ultra Modern Telecommunications and Control Systems and Workshops

(ICUMT), 2012 4th International Congress on (pp. 336-342). IEEE

Ni, Q., Romdhani, L. and Turletti, T., A survey of QoS enhancements for IEEE 802.11 wireless LAN. Wireless Communications and Mobile Computing, 4(5), pp.547-566. 2004.

Saaty, T. L. . What is the analytic hierarchy process?. In Mathematical models for decision support (pp. 109-121). Springer, Berlin, Heidelberg.1988.

Osseiran A, Monserrat JF, Marsch P, editors. 5G mobile and wireless communications technology. Cambridge University Press; 2016.

DOI: http://dx.doi.org/10.33021/itfs.v5i2.1273


  • There are currently no refbacks.

Copyright (c) 2020 IT for Society

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

All articles in this journal are indexed in:


 Creative Commons License

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