Quality Control for Mobile Communication Management Services in Hybrid Environment

  • L. GlobaEmail author
  • M. SkulyshEmail author
  • O. RomanovEmail author
  • M. NesterenkoEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 560)


There is an integration of telecommunication systems and distributed computing environment, resulting in a single hybrid environment for telecommunication services. The hybrid environment has the ability to control the information flow process at each stage and ensures compliance with high quality standards. Providing the quality of service to end-users of communication networks depends on quality control at all stages of the service provision. Today, due to the dynamically changing service structure provided to end users, constantly changing requirements for service quality indicators, with increasing traffic volumes, there is a growing need for well-scalable communication systems that meet the needs of end-users, gaining special significance to service management systems. In the article the features of quality control service servicing of flows of the mobile communication network are investigated with the use of partial virtualization of network functions. An architectural solution for organization of service flows in a hybrid environment is proposed, which includes a telecommunication communication network and cloud computing resources that provide maintenance of virtualized functions involved in the organization of service flows. The solution for improvement of the PCRF system as well as a number of procedures that allow ensuring quality control of servicing streams as well as controlling the computing resources of a hybrid system, which work affects the quality of service of the system service flows, is proposed.


NFV VeCME VBS VeEPC LTE 5G TC gibrid-service 


  1. 1.
    ITU-T Recommendation M.3371 of October 2016. Requirements for service management in cloud-aware telecommunication management system.
  2. 2.
  3. 3.
    Skulysh, M., Romonov, O.: The structure of a mobile provider network with network functions virtualization. In: 14-th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2018, 20–24 February 2018, Conference Proceedings, Lviv–Slavske, pp. 1032–1034 (2018)Google Scholar
  4. 4.
    J. ITU-T Y.3520 Telecommunication standardization sector of ITU (2013). Series Y: Global information infrastructure, internet protocol aspects and next-generation networksGoogle Scholar
  5. 5.
    Skulysh, M., Klimovych, O.: Approach to virtualization of evolved packet core network functions. In: 2015 13th International Conference on Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), pp. 193–1950. IEEE (2015)Google Scholar
  6. 6.
    Larisa, G., Mariia, S., Andriy, R.: Control strategy of the input stream on the online charging system in peak load moments. In: 2014 24th International Crimean Conference on Microwave & Telecommunication Technology (CriMiCo), pp. 312–313. IEEE (2014)Google Scholar
  7. 7.
    Skulysh, M.: The method of resources involvement scheduling based on the long-term statistics ensuring quality and performance parameters. In: 2017 International Conference on Radio Electronics & Info Communications (UkrMiCo) (2017)Google Scholar
  8. 8.
    Globa, L., Skulysh, M., Sulima, S.: Method for resource allocation of virtualized network functions in hybrid environment. In: 2016 IEEE International Black Sea Conference on Communications and Networking, pp. 1–5 (2016).
  9. 9.
    Romanov, O.I., Nesterenko, M.M., Veres, L.A.: IMS: model and calculation method of telecommunication network’s capacity. In: Proceedings of the 2017 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo) 11–15 September 2017, Odessa, Ukraine, pp. 1–4. ІEEE Conference Publications (IEEE Xplore Digital Library) (2017).
  10. 10.
    Romanov, O.I., Oryschuk, M.V., Hordashnyk, Y.S.: Computing of influence of stimulated Raman scattering in DWDM telecommunication systems. In: 2016 IEEE International Scientific Conference “Radio Electronics and Info Communications”, UkrMiCo 2016 - Conference Proceedings (2016)Google Scholar
  11. 11.
    Skulysh, M.A., Romanov, O.I., Globa, L.S., Husyeva, I.I.: Managing the process of servicing hybrid telecommunications services. Quality control and interaction procedure of service subsystems. In: Advances in Intelligent Systems and Computing, vol. 889, pp. 244–256 (2019)Google Scholar
  12. 12.
    Kurdecha, V.V., Zingaeva, N.A.: Optimal reconfigurable base stations (R-BS) architecture and requirements to R-BS. In: 2011 21st International Crimean Conference “Microwave & Telecommunication Technology”, Sevastopol, pp. 465–466 (2011)Google Scholar
  13. 13.
    Ilchenko, M., Uryvsky, L., Moshynska, A.: Developing of telecommunication strategies based on the scenarios of the information community. Cybern. Syst. Anal. 53(6), 905–913 (2017)CrossRefGoogle Scholar
  14. 14.
    Moshynska, A., Osypchuk, S., Pieshkin, A., Shmihel, B.: The effect of the features of signalcode constructions forming on indicators of functionality and reliability of communication systems based on the 802.11 N/AC standards. J. Sci. Europe, Praha, Czech Republic. № 26, 2, 38–47 (2018). ISSN 3162-2364
  15. 15.
    Chaitanya, T.V.K., Larsson, E.G.: Improving 3GPP-LTE uplink control signaling performance using complex-field coding. IEEE Trans. Veh. Technol. 62(1), 161–171 (2013)CrossRefGoogle Scholar
  16. 16.
    Cuevas, A., Moreno, J.I., Einsiedler, H.: IMS service platform: a solution for next-generation network operators to be more than bit pipes. IEEE Commun. Mag. 75–81 (2006)Google Scholar
  17. 17.
    Ahson, S.A., Ilyas, M.: IP Multimedia Subsystem (IMS) Handbook, p. 250. CRC Press (2009)Google Scholar
  18. 18.
    Ghosh, A., Ratasuk, R., Mondal, B., Mangalvedhe, N., Thomas, T.: LTE-advanced: next-generation wireless broadband technology. IEEE Wirel. Commun. 17(3), 10–22 (2010)CrossRefGoogle Scholar
  19. 19.
    Li, X., Bigos, W., Dulas, D., Chen, Y., Toseef, U., Goerg, C., Timm-Giel, A., Klug, A.: Dimensioning of the LTE access network for the transport network delay QoS. In: 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1–7 (2011)Google Scholar
  20. 20.
    Costa-Requena, J.: SDN integration in LTE mobile backhaul networks. In: 2014 International Conference on Information Networking (ICOIN), 10–12 February 2014, pp. 264–269 (2014)Google Scholar
  21. 21.
    Ho, W.-C., Tung, L.-P., Chang, T.-S., Feng, K.-T.: Enhanced component carrier selection and power allocation in LTE-advanced downlink systems. In: 2013 IEEE Wireless Communications and Networking Conference (WCNC), pp. 574–579 (2013)Google Scholar
  22. 22.
    Nuaymi, L., Sato, I., Bouabdallah, A.: Improving radio resource usage with suitable policy and charging control in LTE. In: 2012 6th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST), pp. 158–163 (2012)Google Scholar
  23. 23.
    Ouellette, S., Marchand, L., Pierre, S.: A potential evolution of the policy and charging control/QoS architecture for the 3GPP IETF-based evolved packet core. IEEE Commun. Mag. 49, 231–239 (2011)CrossRefGoogle Scholar
  24. 24.
    Sou, S.-I., Jeng, J.-Y., Lee, Y.: Signaling overhead of Policy and online Charging Control for bearer sessions in LTE network. In: IEEE 13th International Symposium on Consumer Electronics, ISCE 2009, pp. 593–597 (2009)Google Scholar
  25. 25.
    Malandrino, F., Casetti, C., Chiasserini, C.-F.: LTE offloading: when 3GPP policies are just enough. In: 2014 11th Annual Conference on Wireless On-demand Network Systems and Services (WONS), pp. 1–8 (2014)Google Scholar
  26. 26.
    Gorkemli, B., Tatlicioglu, S., Murat Tekalp, A., Lokman, E.: Dynamic control plane for SDN at scale. IEEE J. Sel. Areas Commun. PP(99), 1Google Scholar
  27. 27.
    Lira, V., Tavares, E., Oliveira, M., et al.: Virtual network mapping considering energy consumption and availability.
  28. 28.
    ITU-T Recommendation Y.3500: Information technology - Cloud computing - Overview and vocabulary.
  29. 29.
    ITU-T Recommendation Y.3511: Framework of inter-cloud computing.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”KyivUkraine

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