Advertisement

Formalizing Set of Multiservice Models for Analyzing Pre-emption Mechanisms in Wireless 3GPP Networks

  • Konstantin Samouylov
  • Irina GudkovaEmail author
  • Ekaterina Markova
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 601)

Abstract

Users of wireless 3GPP LTE networks are provided with a wide range of multimedia services with varying QoS requirements; due to this fact a problem of an effective network resources’ distribution arises and, consequently, a task of the optimal RAC schemes development. According to the international standards, two types of services are defined within LTE networks – GBR services and non-GBR services. The GBR services generate streaming traffic and non-GBR services – elastic traffic the bit rate of which can dynamically change depending on the cell load. Also, the service priorities differ and are organized with the help of different mechanisms, e.g. service interruption mechanism and mechanism of bit rate degradation. The paper proposes a formal unique description of RAC schemes that is used to develop an example set of models realizing three possible pre-emption based scenarios in multiservice wireless networks.

Keywords

Wireless network Radio admission control RAC Guaranteed bit rate GBR Non-GBR Service interruption Bit rate degradation 

References

  1. 1.
    Stasiak, M., Glabowski, M., Wisniewski, A., Zwierzykowski, P.: Modelling and Dimensioning of Mobile Wireless Networks: From GSM to LTE. Willey, Chichester (2010)CrossRefGoogle Scholar
  2. 2.
    Samouylov, K., Gudkova, I.: Recursive computation for a multi-rate model with elastic traffic and minimum rate guarantees. In: IEEE International Congress on Ultra Modern Telecommunications and Control Systems ICUMT-2010, pp. 1065–1072. IEEE Press, Moscow (2010)Google Scholar
  3. 3.
    Basharin, G., Gaidamaka, Y., Samouylov, K.: Mathematical theory of teletraffic and its application to the analysis of multiservice communication of next generation networks. Autom. Control Comput. Sci. 47(2), 62–69 (2013)CrossRefGoogle Scholar
  4. 4.
    Borodakiy, V., Gudkova, I., Samouylov, K., Markova, E.: Modelling and performance analysis of pre-emption based radio admission control scheme for video conferencing over LTE. In: 6th International Conference ITU Kaleidoscope: Living in a Converged World - Impossible Without Standards?. K-LCW-2014, pp. 53–59. ITU Press, St. Petersburg (2014)Google Scholar
  5. 5.
    Ghaderi, M., Boutaba, R.: Call admission control in mobile cellular networks: a comprehensive survey. Wirel. Commun. Mob. Comput. 6(1), 69–93 (2006)CrossRefGoogle Scholar
  6. 6.
    Gudkova, I.A., Samouylov, K.E.: Modelling a radio admission control scheme for video telephony service in wireless networks. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2012. LNCS, vol. 7469, pp. 208–215. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  7. 7.
    Khabazian, M., Kubbar, O., Hassanein, H.: A fairness-based pre-emption algorithm for LTE-advanced: In: 10th IEEE Global Telecommunications Conference GLOBECOM-2012, pp. 5320–5325. IEEE Press, Anaheim (2012)Google Scholar
  8. 8.
    Kwan, R., Arnott, R., Trivisonno, R., Kubota, M.: On pre-emption and congestion control for LTE systems. In: 72nd Vehicular Technology Conference VTC2010-Fall, pp. 6–8. IEEE Press, Ottawa (2010)Google Scholar
  9. 9.
    Liao, H., Wang, X., Chen, H.H.: Adaptive call admission control for multi-class services in wireless networks. In: IEEE International Conference on Communications ICC-2008, pp. 2840–2844. IEEE Press, Beijing (2008)Google Scholar
  10. 10.
    Shorgin, S.Y., Samouylov, K.E., Gudkova, I.A., Markova, E.V., Sopin, E.S.: Approximating performance measures of radio admission control model for non real-time services with maximum bit rates in LTE. In: AIP Conference Proceedings, vol. 1648, pp. 1–4. AIP Publishing, USA (2015). doi: 10.1063/1.4912508
  11. 11.
    Gudkova, I., Plaksina, O.: Performance measures computation for a single link loss network with unicast and multicast traffics. In: Balandin, S., Dunaytsev, R., Koucheryavy, Y. (eds.) ruSMART 2010. LNCS, vol. 6294, pp. 256–265. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  12. 12.
    Iversen, V.: Teletraffic Engineering and Network Planning. Technical University of Denmark, Lyngby (2011)Google Scholar
  13. 13.
    Cisco Systems: Cisco visual networking index: Global Mobile Data Traffic Forecast Update, 20132019: usage: White paper. Cisco Systems, 40 (2015)Google Scholar
  14. 14.

Copyright information

© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Authors and Affiliations

  • Konstantin Samouylov
    • 1
  • Irina Gudkova
    • 1
    Email author
  • Ekaterina Markova
    • 1
  1. 1.Peoples’ Friendship University of RussiaMoscowRussia

Personalised recommendations