Analyzing Mean Bit Rate of Multicast Video Conference in LTE Network with Adaptive Radio Admission Control Scheme*
- 27 Downloads
The concept of getting services and applications at “any time” and at “any place” requires the corresponding development of cellular networks, namely in LTE networks. At present, there is a lack of quality of service related recommendations describing various popular services, e.g., video conferencing. The problem is to find the optimal bit rate values for this service while not affecting the background lower priority services. In this paper we propose an instrument for solving this problem. First, we obtain mathematical model in the form of a queueing system with multicast highpriority traffic and unicast background traffic. The admission control assumes the adaptive bit rate change of multicast traffic and unicast traffic interruption. Second, we obtain the recursive algorithm for calculating mean bit rate and other performance measures. Third, we study the problem of optimizing mean bit rate.
Unable to display preview. Download preview PDF.
- 1.A. M. Rashwan, A. -E. M. Taha, and H. S. Hassanein, “Considerations for bandwidth adaptation mechanisms in wireless networks,” in: Proc. of the 24th Biennial Symposium on Communications QBSC-2008, Kingston (2008), pp. 43–47.Google Scholar
- 2.Cisco Systems, “Cisco visual networking index: Global Mobile Data Traffic Forecast Update, 2013–2018: usage: White paper” (2014).Google Scholar
- 4.I. A. Gudkova and K. E. Samouylov, “Modelling a radio admission control scheme for video telephony service in wireless networks,” in: Lect. Notes Comput. Sci., Vol. 7469, Springer, Berlin (2012), pp. 208–215.Google Scholar
- 5.I. A. Gudkova and O. N. Plaksina, “Performance measures computation for a single link loss network with unicast and multicast traffics,” in: Lect. Notes Comput. Sci., Vol. 6294, Springer, Berlin (2010), pp. 256–265.Google Scholar
- 7.K. E. Samouylov, I. A. Gudkova, and N. D. Maslovskaya, “A model for analysing impact of frequency reuse on inter-cell interference in LTE network,” in: Proc. of the 4th International Congress on Ultramodern Telecommunications and Control Systems ICUMT-2012, St. Petersburg (2012), pp. 298–301.Google Scholar
- 8.M. Khabazian, O. Kubbar, and H. Hassanein, “A fairness-based pre-emption algorithm for LTEAdvanced,” in: Proc. of the 10th IEEE Global Telecommunications Conference GLOBECOM-2012, Anaheim (2012), pp. 5320–5325.Google Scholar
- 9.M. Qian, Y. Huang, J. Shi, Y. Yuan, L. Tian, and E. Dutkiewicz, “A novel radio admission control scheme for multiclass services in LTE systems,” in: Proc. of the 7th IEEE Global Telecommunications Conference GLOBECOM-2009, Honolulu (2009), pp. 1–6.Google Scholar
- 10.M. Stasiak, M. Glabowski, A. Wisniewski, and P. Zwierzykowski, Modelling and Dimensioning of Mobile Wireless Networks: from GSM to LTE, Wiley (2010).Google Scholar
- 11.N. Nasser and H. Hassanein, “Combined admission control algorithm and bandwidth adaptation algorithm in multimedia cellular networks for QoS provisioning,” in: Proc. of the 17th Canadian Conference on Electrical and Computer Engineering CCECE-2004, P. 2, Niagara Falls (2004), pp. 1183–1186.Google Scholar
- 12.R. Kwan, R. Arnott, R. Trivisonno, and M. Kubota, “On pre-emption and congestion control for LTE systems,” in: Proc. of the 72nd Vehicular Technology Conference VTC2010-Fall, P. 2, Ottawa (2010), pp. 1–5.Google Scholar
- 13.Skype, “How much bandwidth does Skype need?,” (2014).Google Scholar
- 14.V. Y. Borodakiy, I. A. Buturlin, I. A. Gudkova, and K. E. Samouylov, “Modelling and analysing a dynamic resource allocation scheme for M2M traffic in LTE networks,” in: Lect. Notes Comput. Sci., Vol. 8121, Springer, Berlin (2013), pp.420–426.Google Scholar