Abstract
One of the challenging tasks in 5G networks is to organize a joint URLLC (ultra-reliable and low-latency communication) and eMBB (enhanced mobile broadband) transmission in such a way that provides the priority to URLLC connections. The eMBB users suffer quality of service degradation, primarily bit rate degradation, as well as service interruption. In the paper, we provide a queuing model for analyzing this effect depending on several path loss models. The queuing system is of type resource queuing system, where the resource has three-dimensional structure – frequency bandwidth, radio frame length, and transmitted signal power. Due to different URLLC and eMBB bit rate requirements, we use weighted round robin (WRR) resource allocation scheme. The stationary probability distribution depends on the conditional probabilities of session acceptance. We provide the formulas for calculating eMBB metrics – average bit rate, interruption probability, and blocking probability. A numerical example illustrates the impact of two path loss models for macro- and microcells on eMBB metrics.
The research was supported by the Ministry of Science and Higher Education of the Russian Federation, project No. 075-15-2020-799. The research was carried out using the infrastructure of the Shared Research Facilities “High Performance Computing and Big Data” (CKP “Informatics”) of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Navarro-Ortiz, J., Romero-Diaz, P., Sendra, S., Ameigeiras, P., Ramos-Munoz, J.J., Lopez-Soler, J.M.: A survey on 5G usage scenarios and traffic models. IEEE Commun. Surv. Tutor. 22(2), 905–929 (2020). https://doi.org/10.1109/COMST.2020.2971781
ITU-R M.2412. Guidelines for evaluation of radio interface technologies for IMT-2020 (2021)
Kochetkov, D., Almaganbetov, M.: Using patent landscapes for technology benchmarking: a case of 5G networks. Adv. Syst. Sci. Appl. 21(2), 20–28 (2021). https://doi.org/10.25728/assa.2021.21.2.988
Kochetkov, D., Vuković, D., Sadekov, N., Levkiv, H.: Smart cities and 5G networks: an emerging technological area? J. Geogr. Inst. Jovan Cvijic SASA 69(3), 289–295 (2019). https://doi.org/10.2298/IJGI1903289K
Guo, S., Lu, B., Wen, M., Dang, S., Saeed, N.: Customized 5G and beyond private networks with integrated URLLC, eMBB, mMTC, and positioning for industrial verticals. IEEE Commun. Stand. Mag. 6(1), 52–57 (2022). https://doi.org/10.1109/MCOMSTD.0001.2100041
Varsier, N., Dufrene, L.-A., Dumay, M., Lampin, Q., Schwoerer, J.: A 5G new radio for balanced and mixed IoT use cases: challenges and key enablers in FR1 band. IEEE Commun. Mag. 59(4), 82–87 (2021). https://doi.org/10.1109/MCOM.001.2000660
Anand, A., De Veciana, G., Shakkottai, S.: Joint scheduling of URLLC and eMBB traffic in 5G wireless networks. IEEE/ACM Trans. Netw. 28(2), 477–490 (2020). https://doi.org/10.1109/TNET.2020.2968373
Yarkina, N., Correia, L.M., Moltchanov, D., Gaidamaka, Y., Samouylov, K.: Multi-tenant resource sharing with equitable-priority-based performance isolation of slices for 5G cellular systems. Comput. Commun. 188, 39–51 (2022). https://doi.org/10.1016/j.comcom.2022.02.019
Ivanova, D., Markova, E., Moltchanov, D., Pirmagomedov, R., Koucheryavy, Y., Samouylov, K.: Performance of priority-based traffic coexistence strategies in 5G mmWave industrial deployments. IEEE Access 10, 9241–9256 (2022). https://doi.org/10.1109/ACCESS.2022.3143583
Sopin, E., Begishev, V., Moltchanov, D., Samuylov, A.: Resource queuing system with preemptive priority for performance analysis of 5G NR systems. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2020. LNCS, vol. 12563, pp. 87–99. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-66471-8_8
Naumov, V., Samouylov, K.: Resource system with losses in a random environment. Mathematics 9(21), 2685 (2021). https://doi.org/10.3390/math9212685
Kushchazli, A., Ageeva, A., Kochetkova, I., Kharin, P., Chursin, A., Shorgin, S.: Model of radio admission control for URLLC and adaptive bit rate eMBB in 5G network. In: CEUR Workshop Proceedings, vol. 2946, pp. 74–84 (2021)
Makeeva, E., Polyakov, N., Kharin, P., Gudkova, I.: Probability model for performance analysis of joint URLLC and eMBB transmission in 5G networks. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART -2019. LNCS, vol. 11660, pp. 635–648. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30859-9_55
3GPP TR 38.901 Study on channel model for frequencies from 0.5 to 100 GHz (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kochetkova, I., Makeeva, E., Ageeva, A., Gorshenin, A. (2022). Model for Analyzing Impact of Path Loss on eMBB Bit Rate Degradation Under Priority URLLC Transmission in 5G Network. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2022. Lecture Notes in Computer Science, vol 13766 . Springer, Cham. https://doi.org/10.1007/978-3-031-23207-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-23207-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23206-0
Online ISBN: 978-3-031-23207-7
eBook Packages: Computer ScienceComputer Science (R0)