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Modelling Multi-connectivity in 5G NR Systems with Mixed Unicast and Multicast Traffic

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Distributed Computer and Communication Networks (DCCN 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12563))

Abstract

3GPP New Radio (NR) radio access technology operating in millimeter wave (mmWave) frequency band is considered as key enabler for Fifth-generation (5G) mobile system. Despite the enormous available bandwidth potential, mmWave signal transmissions suffer from fundamental technical challenges like severe path loss, sensitivity to blockage, directivity, and narrow beamwidth, due to its short wavelengths. To address the problem of quality degradation due to the line-of-sight (LoS) blockage by various objects in the channel, 3GPP is currently working on multi-connectivity (MC) mechanisms that allow a user to remain connected to several mmWave access points simultaneously as well as switch between them in case its active connection drops. In this paper, exploiting the methods of stochastic geometry and queuing theory we propose a model of 5G NR base station (BS) serving a mixture of unicast and multicast traffic. MC techniques is proposed to be used for cell-edge users. The proposed model is validated against computer simulations in terms of session drop probabilities and system resource utilization metrics. Our findings are illustrated with a numerical example.

The publication has been prepared with the support of the “RUDN University Program 5–100" (V.A. Beschastnyi, original draft preparation; D.Yu. Ostrikova, visualization and validation). The reported study was funded by RFBR, projects Nos. 18-07-00156 (Yu.V. Gaidamaka, conceptualization and methodology) and 18-07-00576 (Yu.V. Gaidamaka, supervision and project administration).

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References

  1. Cisco Visual Networking Index: Forecast and Methodology, 2017–2022 White Paper (2019). https://www.cisco.com/c/en/us/solutions/collateral/serviceprovider/visual-networking-index-vni/white-paper-c11-741490.html

  2. IEEE Standard: 802.11ad-2012: Enhancements for Very High Throughput in the 60 GHz Band. https://ieeexplore.ieee.org/document/6392842/

  3. Kovalchukov, R., et al.: Improved session continuity in 5G NR with joint use of multi-connectivity and guard bandwidth. In: 2018 IEEE Global Communications Conference (GLOBECOM), pp. 1–7 (2018)

    Google Scholar 

  4. Begishev, V., Samuylov, A., Moltchanov, D., Machnev, E., Koucheryavy, Y., Samouylov, K.: Connectivity properties of vehicles in street deployment of 3GPP NR systems. In: 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings, art.no. 8644102 (2019)

    Google Scholar 

  5. Garro, E., Fuentes, M., Gomez-Barquero, D., Carcel, J.L.: 5G mixed mode: an innovative point-to-multipoint solution for new radio. In: 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), pp. 1–5 (2020)

    Google Scholar 

  6. Wang, J., Hongbo, X., Zhu, B., Fan, L., Zhou, A.: Hybrid beamforming design for mmWave joint unicast and multicast transmission. IEEE Commun. Lett. 22(10), 2012–2015 (2018)

    Article  Google Scholar 

  7. Säily, M., Barjau, C., Navrátil, D., Prasad, A., Gómez-Barquero, D., Tesema, F.B.: 5G radio access networks: enabling efficient point-to-multipoint transmissions. IEEE Vehicular Technol. Mag. 14(4), 29–37 (2019)

    Article  Google Scholar 

  8. Samuylov, A.: Characterizing resource allocation trade-offs in 5G NR serving multicast and unicast traffic. IEEE Trans. Wirel. Commun. 19(5), 3421–3434 (2020)

    Article  Google Scholar 

  9. 3GPP, “NR: Physical channels and modulation (Release 15)", 3GPP TR 38.211 (2017)

    Google Scholar 

  10. 3GPP, “NR: Multi-connectivity; Overall description (Release 15)", 3GPP TS 37.34 V15.2.0 (2018)

    Google Scholar 

  11. Petrov, V., et al.: Dynamic multi-connectivity performance in ultra-dense urban mmWave deployments. IEEE J. Selected Areas Commun. 35(9), 2038–2055 (2017)

    Article  Google Scholar 

  12. Zhang, K., Zhang, J., Tao, X.: Dynamic multiconnectivity based joint scheduling of eMBB and uRLLC in 5G networks. IEEE Syst. J., 1–11 (2020)

    Google Scholar 

  13. Gapeyenko, M., Petrov, V., Riza, M., Andreev, S., Himayat, N., Koucheryavy, Y.: On the degree of multi-connectivity in 5G millimeter-wave cellular urban deployments. IEEE Trans. Vehicular Technol. 6(2), 1973–1978 (2018)

    Article  Google Scholar 

  14. Feng, W., Li, Y., Niu, Y., Su, L., Jin, D.: Multicast spatial reuse scheduling over millimeter-wave networks. In: Wireless Communications and Mobile Computing Conference (IWCMC), pp. 317–322. IEEE (2017)

    Google Scholar 

  15. Polese, M., Zorzi, M.: Impact of channel models on the end-to-end performance of Mmwave cellular networks. In: IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5 (2018)

    Google Scholar 

  16. Biason, A., Zorzi, M.: Multicast via Point to multipoint transmissions in directional 5G mmWave communications. IEEE Commun. Mag. 57(2), 88–94 (2019)

    Article  Google Scholar 

  17. Moltchanov, D., et al.: Improving session continuity with bandwidth reservation in mmwave communications. IEEE Wirel. Commun. Lett. 8(1), 05–108 (2019)

    Article  Google Scholar 

  18. Naumov, V., Samouylov, K.: Analysis of multi-resource loss system with state-dependent arrival and service rates. Prob. Eng. Inf. Sci. 31(4), 413–419 (2017)

    Article  MathSciNet  Google Scholar 

  19. Mezzavilla, M., et al.: End-to-end simulation of 5G mmWave networks. IEEE Comm. Surv. Tutor. 20(3), 2237–2263 (2018)

    Article  Google Scholar 

  20. Samouylov, K., Naumov, V., Sopin, E., Gudkova, I., Shorgin, S.: Sojourn time analysis for processor sharing loss system with unreliable server. In: Wittevrongel, S., Phung-Duc, T. (eds.) ASMTA 2016. LNCS, vol. 9845, pp. 284–297. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-43904-4_20

    Chapter  Google Scholar 

  21. Vikhrova, O., Pizzi, S., Sinitsyn, I., Molinaro, A., Iera, A., Samuylov, K., Araniti, G.: An analytic approach for resource allocation of IoT multicast traffic. In: Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pp. 25–30 (2019)

    Google Scholar 

  22. Samuylov, A., Moltchanov, D., Krupko, A., Kovalchukov, R., Moskaleva, F., Gaidamaka, Yu.: Performance analysis of mixture of unicast and multicast sessions in 5G NR systems. In: 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT - 2018), Russia, Moscow (2018)

    Google Scholar 

  23. Ericsson Mobility Report (2020). https://www.ericsson.com/49da93/assets/local/mobility-report/documents/2020/june2020-ericsson-mobility-report.pdf

  24. Khatibi, S., Correia, L.M.: Modelling virtual radio resource management in full heterogeneous networks. EURASIP J. Wirel. Commun. Netw. 2017(1), 1–17 (2017). https://doi.org/10.1186/s13638-017-0858-7

    Article  Google Scholar 

  25. Borodakiy, V.Y., Samouylov, K.E., Gudkova, I.A., Markova, E.V.: Analyzing mean bit rate of multicast video conference in LTE network with adaptive radio admission control scheme. J. Math. Sci. 218(3), 257–268 (2016)

    Article  MathSciNet  Google Scholar 

  26. Gudkova, I., et al.: Analyzing impacts of coexistence between M2M and H2H communication on 3GPP LTE system. In: Mellouk, A., Fowler, S., Hoceini, S., Daachi, B. (eds.) WWIC 2014. LNCS, vol. 8458, pp. 162–174. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13174-0_13

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

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

    Vitalii Beschastnyi, Daria Ostrikova, Sergey Melnikov & Yuliya Gaidamaka

  2. Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS), 44-2 Vavilov St, Moscow, 119333, Russian Federation

    Yuliya Gaidamaka

Authors
  1. Vitalii Beschastnyi
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  2. Daria Ostrikova
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  3. Sergey Melnikov
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  4. Yuliya Gaidamaka
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Corresponding author

Correspondence to Vitalii Beschastnyi .

Editor information

Editors and Affiliations

  1. Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia

    Vladimir M. Vishnevskiy

  2. RUDN University, Moscow, Russia

    Konstantin E. Samouylov

  3. Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia

    Dmitry V. Kozyrev

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Beschastnyi, V., Ostrikova, D., Melnikov, S., Gaidamaka, Y. (2020). Modelling Multi-connectivity in 5G NR Systems with Mixed Unicast and Multicast Traffic. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks. DCCN 2020. Lecture Notes in Computer Science(), vol 12563. Springer, Cham. https://doi.org/10.1007/978-3-030-66471-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-66471-8_5

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  • Print ISBN: 978-3-030-66470-1

  • Online ISBN: 978-3-030-66471-8

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