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Effect of Heterogeneous Traffic on Quality of Service in 5G Network

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Distributed Computer and Communication Networks (DCCN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11965))

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Abstract

In this work we provide an analysis of Internet of Things concept and the Tactile Internet, as well as trends in traffic served by communication networks, build a real time interactive system between the human and the machine and introduce a new evolution in human-machine (H2M) communication. The most important challenge in realizing Tactile Internet is the latency requirement. In this paper we consider the impact of Internet of Things and tactile internet traffic, formed by monitoring and dispatching control systems or other systems, when the properties of this traffic are described by regular data stream properties. We estimate the impact of this traffic on such key QoS indicators as data delivery delay and probability of loss. As a model of a communication network, we consider a queuing system (QS) with a combined service discipline.

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References

  1. ITU-T—E.800: Terms and definitions related to quality of service and network performance including dependability (1994)

    Google Scholar 

  2. ITU-T The Tactile Internet, ITU-T Technology Watch Report, August 2014

    Google Scholar 

  3. Muthanna, A., Khakimov, A., Ateya, A.A., Paramonov, A., Koucheryavy, A.: Enabling M2M communication through MEC and SDN. In: Vishnevskiy, V.M., Kozyrev, D.V. (eds.) DCCN 2018. CCIS, vol. 919, pp. 95–105. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99447-5_9

    Chapter  Google Scholar 

  4. Marro, G.: Controlled and Conditioned Invariants in Linear System Theory

    Google Scholar 

  5. Paramonov, A., Koucheryavy, A.: M2M traffic models and flow types in case of mass event detection. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 294–300. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10353-2_25

    Chapter  Google Scholar 

  6. Chornaya, D., Paramonov, A., Koucheryavy, A.: Investigation of machine-to-machine traffic generated by mobile terminals. In: 2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2014, pp. 210–213 (2015)

    Google Scholar 

  7. OECD: OECD Science, Technology and Industry Scoreboard 2015: Innovation for growth and society. OECD Publishing, Paris (2015). https://doi.org/10.1787/sti-scoreboard-2015-en

  8. Muthanna, A.: Secure and reliable IoT networks using Fog computing with software-defined networking and blockchain. J. Sens. Actuator Netw. 8, 15 (2019)

    Article  Google Scholar 

  9. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2015–2020 White Paper

    Google Scholar 

  10. Masek, P., Fujdiak, R., Zeman, K., Hosek, J., Muthanna, A.: Remote networking technology for IoT: cloud-based access for AllJoyn-enabled devices. In: 2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology (FRUCT-ISPIT), pp. 200–205 (2016)

    Google Scholar 

  11. Muthanna, A., Prokopiev, A., Koucheryavy, A.: Ubiquitous sensor networks traffic models for image applications (2013)

    Google Scholar 

  12. Volkov, A., Khakimov, A., Muthanna, A., Kirichek, R., Vladyko, A., Koucheryavy, A.: Interaction of the IoT traffic generated by a smart city segment with SDN core network. In: Koucheryavy, Y., Mamatas, L., Matta, I., Ometov, A., Papadimitriou, P. (eds.) WWIC 2017. LNCS, vol. 10372, pp. 115–126. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61382-6_10

    Chapter  Google Scholar 

  13. Iversen, V.B.: Teletraffic Engineering Handbook. COM Center Technical University of Denmark Building 343, DK-2800 Lyngby Tlf.: 4525 3648. www.tele.dtu.dk/teletra

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Acknowledgment

The publication was prepared with the support of the “RUDN University Program 5-100”.

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Authors and Affiliations

  1. The Bonch-Bruevich State University of Telecommunications, St. Petersburg, Russia

    Omar Abdulkareem Mahmood, Abdukodir Khakimov, Ammar Muthanna & Alexander Paramonov

  2. Department of Communications Engineering, College of Engineering, University of Diyala, Diyala, Iraq

    Omar Abdulkareem Mahmood

  3. Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, 117198, Russia

    Abdukodir Khakimov & Ammar Muthanna

Authors
  1. Omar Abdulkareem Mahmood
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  2. Abdukodir Khakimov
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  3. Ammar Muthanna
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  4. Alexander Paramonov
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Corresponding author

Correspondence to Ammar Muthanna .

Editor information

Editors and Affiliations

  1. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia

    Vladimir M. Vishnevskiy

  2. Peoples' Friendship University of Russia, Moscow, Russia

    Konstantin E. Samouylov

  3. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia

    Dmitry V. Kozyrev

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Mahmood, O.A., Khakimov, A., Muthanna, A., Paramonov, A. (2019). Effect of Heterogeneous Traffic on Quality of Service in 5G Network. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Lecture Notes in Computer Science(), vol 11965. Springer, Cham. https://doi.org/10.1007/978-3-030-36614-8_36

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  • DOI: https://doi.org/10.1007/978-3-030-36614-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36613-1

  • Online ISBN: 978-3-030-36614-8

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