ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)


Cite this article as:

Vlaskina A. S., Polyakov N. A., Gudkova I. A., Gaidamaka Y. V. Performance Analysis of Elastic Traffic with Minimum Bit Rate Guarantee Transmission in Wireless Network under Network Slicing. Izv. Saratov Univ. (N. S.), Ser. Math. Mech. Inform., 2020, vol. 20, iss. 3, pp. 378-387. DOI: https://doi.org/10.18500/1816-9791-2020-20-3-378-387

Published online: 
31.08.2020
Language: 
Russian
Heading: 
UDC: 
621.3

Performance Analysis of Elastic Traffic with Minimum Bit Rate Guarantee Transmission in Wireless Network under Network Slicing

Autors: 
Vlaskina Anastasiya S., Peoples’ Friendship University of Russia (RUDN University)
Polyakov Nikita A., Peoples’ Friendship University of Russia (RUDN University)
Gudkova Irina A., Peoples’ Friendship University of Russia (RUDN University)
Gaidamaka Yuliya V., Peoples’ Friendship University of Russia (RUDN University)
Abstract: 

Future mobile networks are expected to support a significant number of applications and services. With limited network bandwidth, the usual allocation of resources leads to inefficient use of radio access networks. A possible solution is network slicing technology designed to distribute resources between virtual mobile operators. The aim of this work is to study and evaluate the performance indicators of such a network using the example of a file download service with a minimum guaranteed data transfer rate. For effective sharing of resources, the authors proposed a mathematical model in the form of a queuing system with elastic traffic, a queue, and a finite number of sources. Formulas are obtained for calculating such characteristics as the probability of blocking, the average amount of time to receive this service, and the average number of requests in the system. For numerical analysis, a simulation model of a network with a discrete type of event has been developed for an initial source data, close to real values. The dependence of probability-time parameters on the intensity of applications is shown. The results are intermediate in the subject of network slicing and can be used for subsequent research and optimization of the radio resources allocation in fifth-generation wireless networks.

Received: 
14.11.2019
Article type: 
RAR - research article
Funding: 
This work was supported by the Ministry of Education and Science of the Russian Federation (project No. 2.3397.2017/4.6).
DOI: 
10.18500/1816-9791-2020-20-3-378-387
References: 
  1. Zhang H., Liu N., Chu X., Long K., Aghvami A.-H., Leung V. C. M. Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges. IEEE Communications Magazine, 2017, vol. 55, iss. 8, pp. 138–145.
  2. Lee Y. L., Loo J., Chuah T. C., Wang L.-C. Dynamic network slicing for multitenant heterogeneous cloud radio access networks. IEEE Transactions on Wireless Communications, 2018, vol. 17, iss. 4, pp. 2146–2161. DOI: https://doi.org/10.1109/TWC.2017.2789294
  3. Rouzbehani B., Correia L. M., Caeiro L. An Optimised RRM Approach with Multi-Tenant Performance Isolation in Virtual RANs. 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Bologna, 2018, pp. 1–6. DOI: https://doi.org/10.1109/PIMRC.2018.8581050
  4. 3GPP TS 23.501 V15.4.0 – System architecture for the 5G System (5GS). Available at: https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetai... (accessed 14 November 2019).
  5. Lieto A., Malanchini I., Capone A. Enabling Dynamic Resource Sharing for Slice Customization in 5G Networks. 2018 IEEE Global Communications Conference (GLOBECOM). Abu Dhabi, United Arab Emirates, 2018, pp. 1–7. DOI: https://doi.org/10.1109/GLOCOM.2018.8647249
  6. GB999 User Guide for Network Slice Management R18.5.1. Available at: https://projects.tmforum.org/wiki/display/PCT/viewpage.action?pageId=100... (accessed 14 November 2019).
  7. Ordonez-Lucena J., Ameigeiras P., Lopez D., Ramos-Munoz J. J., Lorca J., Folgueira J. Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges. IEEE Communications Magazine, 2017, vol. 55, iss. 5, pp. 80–87. DOI: https://doi.org/10.1109/MCOM.2017.1600935
  8. Khatibi S., Caeiro L., Ferreira L. S., Correia L. M., Nikaein N. Modelling and implementation of virtual radio resources management for 5G Cloud RAN. J. Wireless Com. Network, 2017, vol. 2017, iss. 1, art. no. 128. DOI: https://doi.org/10.1186/s13638-017-0908-1
  9. Foukas X., Patounas G., Elmokashfi A., Marina M. K. Network Slicing in 5G: Survey and Challenges. IEEE Communications Magazine, 2017, vol. 55, iss. 5, pp. 94–100. DOI: https://doi.org/10.1109/MCOM.2017.1600951
  10. ITU-T Rec. Y.0.3101 — Requirements of the IMT-2020 network. 01.2018. Available at: https://www.itu.int/rec/T-REC-Y.3101-201801-I/en (accessed 14 November 2019).
  11. Rouzbehani B., Correia L. M., Caeiro L. A modified proportional fair radio resource management scheme in virtual RANs. 2017 European Conference on Networks and Communications (EuCNC). Oulu, 2017, pp. 1–5. DOI: https://doi.org/10.1109/EuCNC.2017.7980724
  12. Caballero P., Banchs A., De Veciana G., Costa-Perez X., Azcorra A. Network slicing for guaranteed rate services: Admission control and resource allocation games. IEEE Transactions on Wireless Communications, 2018, vol. 17, iss. 10, pp. 6419–6432. DOI: https://doi.org/10.1109/TWC.2018.2859918
  13. Samouylov K. E., Gudkova I. A. Recursive computation for a multi-rate model with elastic traffic and minimum rate guarantees. In: International Congress on Ultra Modern Telecommunications and Control Systems. Moscow, 2010, pp. 1065–1072. DOI: https://doi.org/10.1109/ICUMT.2010.5676509
  14. Gudkova I. A., Markova E. V., Abaev P. O., Antonova V. M. Analytical modelling and simulation of admission control scheme for non-real time services in LTE networks. Proc. 29th European Conference on Modelling and Simulation, ECMS 2015. Albena, Bulgaria, 2015, pp. 689–695. DOI: https://doi.org/10.7148/2015-0689
  15. Khatibi S. Radio Resource Management Strategies in Virtual Networks. Thesis approved in public session to obtain PhD degree in Electrical and Computer Engineering – 2016. Available at: https://grow.tecnico.ulisboa.pt/wp-content/uploads/2016/08/Thesis_sina_k... (accessed 14 November 2019).
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