AUTHORS: Vaishali, Sandeep Santosh

Download as PDF

ABSTRACT: To facilitate the journey of passengers, the modern railway system should support a wide range of on-board high- speed internet services. The Rail-track Access Points (RAPs) is an interesting idea to solve the increasing demands of passengers. These RAPs are deployed randomly along the railway line and supports high-speed data rates. RAPs are complementary to the cellular network base stations as heavy data request flushes it. In this paper, RAP association problems with the user in the heterogeneous wireless railway network are focused. Here, RAP and base station coexists in the network and to utilise the RAP services, payoff model has been introduced. We analyse the delay performance under the circumstances of totally unknown, partially known and fully known state of the system. According to the payoff model and the expected delay, the passenger decides whether to associate with the RAP or not. Performance evaluations are done on the proposed user-RAP association scheme for the heterogeneous wireless railway communication networks.

KEYWORDS: - payoff, access points, wireless, arrival rate, mean delay time, internet.

REFERENCES:

[1] J. Calle-Sánchez, M. Molina-García, J. I. Alonso, and A. Fernández-Durán, “Long term evolution in high speed railway environments: Feasibility and challenges,” Bell Labs Tech. J., vol. 18, no. 2, pp. 237– 253, Sep. 2013.

[2] C. Zhang, P. Fan, K. Xiong, and P. Fan, “Optimal power allocation with delay constraint for signal transmission from a moving train to base stations in high-speed railway scenarios,” IEEE Trans. Veh. Technol., vol. 62, no. 12, pp. 5575–5588, Dec. 2015.

[3] L. Lei et al., “Stochastic delay analysis for train control services in next generation high-speed railway communications system,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 1, pp. 48–64, Jan. 2016.

[4] X. Jiang, L. Guo, S. Hong, and J. Zhou, “Modelling delay propagation within a train communication network,” in Proc. IEEE Annu. Rel. Maintainability Symp. (RAMS), Palm Harbor, FL, USA, Jan. 2015, pp. 1–6.

[5] S. Xu, G. Zhu, C. Shen, S. Li, and Z. Zhong, “Delay-aware dynamic resource management for high-speed railway wireless communications.”

[Online]. Available: http://ieeexplore.ieee. org/document/7504187,2016

[6] Y. Hu, H. Li, and Z. Han, “Delay bound analysis using martingale for multimedia DTN under heterogeneous network for highspeed trains,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), San Diego, CA, USA, Dec. 2015, pp. 1–6.

[7] Y. Hu, H. Li, Z. Chang, and Z. Han, “Scheduling strategy for multimedia heterogeneous high-speed train networks,” IEEE Trans. Veh. Technol., vol. 66, no. 4, April 2017

[8] A. V. Melnik, “Pricing in queueing systems M/M/m with delays,” Contrib. Game Theory Manage., vol. 7, pp. 214–220, 2014.

[9] W. Zhou and W. Huang, “Two pricing mechanisms for a service provider when customers’ delay costs are value-related,” Comput. Ind. Eng., vol. 87, pp. 600–610, Jun. 2015.

[10] H. Li and Z. Han, “Socially optimal queuing control in cognitive radio networks subject to service interruptions: To queue or not to queue?” IEEE Trans. Wireless Commun., vol. 10, no. 5, pp. 1656–1666, May 2011.

[11] Z. Chang, T. Ristaniemi, and Z. Han, “Queueing game for spectrum access in cognitive radio networks,” IEEE Commun. Lett., vol. 19, no. 11, pp. 2017–2020, Nov. 2015.

[12] C. T. Do, N. H. Tran, Z. Han, L. B. Le, S. Lee, and C. S. Hong, “Optimal pricing for duopoly in cognitive radio networks: Cooperate or not cooperate?” IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2574– 2587, May 2014.

[13] R. Hassin and M. Haviv, To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems, vol. 59. Springer, 2003.

[14] N. H. Tran, C. S. Hong, Z. Han, and S. Lee, “Optimal pricing effect on equilibrium behaviors of delay-sensitive users in cognitive radio networks,” IEEE J. Sel. Areas Commun., vol. 31, no. 11, pp. 2566– 2579, Nov. 2013.

[15] Yun Hu, Zheng Chang, H. Li, T Ristaniemi and Z. Han, “Service Provisioning and User Association for Heterogeneous Wireless Railway Networks,” IEEE Trans on Comm., vol. 65, no. 7, pp. 3066–3078, July 2017.

[16] A. Economou and S. Kanta, “Equilibrium balking strategies in the observable singleserver queue with breakdowns and repairs,” Oper. Res. Lett., vol. 36, no. 6, pp. 696–699, Nov. 2008.