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Approximate Product Form Solution for Performance Analysis of Wireless Network with Dynamic Power Control Policy

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Distributed Computer and Communication Networks (DCCN 2019)

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

Abstract

As the number of mobile devices increases and new networks technologies emerge, radio spectrum is becoming a rare resource. This stands as the major problem in the development of modern wireless technologies. In recent years, several methods and technologies were implemented to solve this problem, for example the licensed assisted-access (LAA) and the licensed shared access (LSA) frameworks allowing to use more efficiently the available radio resources. At the same time, radio resource management (RRM) researches showed that mechanisms (i.e. downlink power reduction, user service interruption) using efficiently the radio spectrum can also be applied. In this paper, we aim to propose different methods for the analysis of possible admission control scheme models to access the radio resources of a wireless network with the implementation of downlink power policy and user service interruption mechanisms. Such models could be described by a queuing system with unreliable servers within a random environment (RE).

The publication has been prepared with the support of the “RUDN University Program 5-100” (Gudkova I.A., mathematical model development). The reported study was funded by RFBR, project number 18-37-00231 and 18-00-01555(18-00-01685) (Markova E.V., numerical analysis). This article is based as well upon support of international mobility project MeMoV, No. CZ.02.2.69/0.0/0.0/16_027/00083710 funded by European Union, Ministry of Education, Youth and Sports, Czech Republic and Brno University of Technology.

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References

  1. Ericsson: Ericsson mobility report, November 2018

    Google Scholar 

  2. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017–2022, White Paper (2019)

    Google Scholar 

  3. 3GPP TS 22.105: Services and service capabilities: Release 14. – 3GPP. – 2017-03

    Google Scholar 

  4. Basaure, A., Sridhar, V., Hammainen, H.: Adoption of dynamic spectrum access technologies: a system dynamics approach. Telecommun. Syst. 63(2), 169–190 (2016)

    Article  Google Scholar 

  5. 3GPP TS 36.300: Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2: Release 14. – 3GPP. – 2017-07

    Google Scholar 

  6. Acar, Y., Aldirmaz, S., Basar, E.: Channel estimation for OFDM-IM systems. Turk. J. Electr. Eng. Comput. Sci. 27, 1908–1921 (2019). https://doi.org/10.3906/elk-1803-101

    Article  Google Scholar 

  7. Ghallab, R., Shokair, M., Abouelazm, A., Sakr, A.A., Saad, W., Naguib, A.: Performance enhancement using MIMO electronic relay in massive MIMO cellular networks. IET Netw. (2019). https://doi.org/10.1049/iet-net.2018.5023

    Article  Google Scholar 

  8. Garcia-Rodriguez, A., Geraci, G., Galati, L., Bonfante, A., Ding, M., Lopez-Perez, D.: Massive MIMO unlicensed: a new approach to dynamic spectrum access. IEEE Commun. Mag. 56, 186–192 (2017). https://doi.org/10.1109/MCOM.2017.1700533

    Article  Google Scholar 

  9. Ouyang, F.: Massive MIMO for dynamic spectrum access, pp. 9–12 (2017). https://doi.org/10.1109/ICCE.2017.7889210

  10. 3GPP TS 23.246: Multimedia Broadcast/Multicast Service (MBMS); Architecture and functional description: Release 15. – 3GPP. – 2017-12

    Google Scholar 

  11. Markova, E., et al.: Flexible spectrum management in a smart city within licensed shared access framework. IEEE Access 5, 22252–22261 (2017)

    Article  Google Scholar 

  12. Maule, M., Moltchanov, D., Kustarev, P., Komarov, M., Andreev, S., Koucheryavy, Y.: Delivering fairness and QoS guarantees for LTE/Wi-Fi coexistence under LAA operation. IEEE Access 6, 7359–7373 (2018)

    Article  Google Scholar 

  13. Markova, E., Moltchanov, D., Gudkova, I., Samouylov, K., Koucharyavy, Y.: Performance assessment of QoS-aware LTE sessions offloading onto LAA/WiFi systems. IEEE Access 7, 36300–36311 (2019)

    Article  Google Scholar 

  14. Borodakiy, V., Gudkova, I., Markova, E., Samouylov, K.: Modelling and performance analysis of pre-emption based radio admission control scheme for video conferencing over LTE. In: Proceedings of the ITU Kaleidoscope Academic Conference, pp. 53–59. ITU, Geneva (2014)

    Google Scholar 

  15. Basharin, G.P., Samouylov, K.E., Yarkina, N.V., Gudkova, I.A.: A new stage in mathematical teletraffic theory. Autom. Remote Control 70(12), 1954–1964 (2009)

    Article  MathSciNet  Google Scholar 

  16. Vishnevsky, V., Kozyrev, D., Rykov, V.: On the reliability of hybrid system information transmission evaluation. In: Proceedings of the Belarusian Winter Workshops in Queueing Theory BWWQT 2013, Minsk, Belarus, 28–31 January 2013, pp. 192–202 (2013)

    Google Scholar 

  17. Ali, A., Shah, G., Arshad, M.: Energy efficient resource allocation for M2M devices in 5G. Sensors 19, 1830 (2019). https://doi.org/10.3390/s19081830

    Article  Google Scholar 

  18. Chen, S., Ma, R., Chen, H.-H., Zhang, H., Meng, W., Liu, J.: Machine-to-machine communications in ultra-dense networks - a survey. IEEE Commun. Surv. Tutor. 19, 1478–1503 (2017). https://doi.org/10.1109/COMST.2017.2678518

    Article  Google Scholar 

  19. Su, J., Xu, H., Xin, N., Cao, G., Zhou, X.: Resource allocation in wireless powered iot system: a mean field stackelberg game-based approach. Sensors 18, 3173 (2018). https://doi.org/10.3390/s18103173

    Article  Google Scholar 

  20. Adou, Y., Markova, E.V., Gudkova, I.: Performance measures analysis of admission control scheme model for wireless network, described by a queuing system operating in random environment. In: Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems ICUMT-2018, Moscow, Russia, 5–9 November 2018, pp. 262–267. IEEE, Piscataway (2018)

    Google Scholar 

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Authors and Affiliations

  1. Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation

    Yves Adou, Ekaterina Markova & Irina Gudkova

  2. Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov St., Moscow, 119333, Russian Federation

    Irina Gudkova

  3. Department of Telecommunication, Brno University of Technology, Brno, Czech Republic

    Irina Gudkova

Authors
  1. Yves Adou
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  2. Ekaterina Markova
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  3. Irina Gudkova
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Corresponding author

Correspondence to Ekaterina Markova .

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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Adou, Y., Markova, E., Gudkova, I. (2019). Approximate Product Form Solution for Performance Analysis of Wireless Network with Dynamic Power Control Policy. 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_29

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  • DOI: https://doi.org/10.1007/978-3-030-36614-8_29

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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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