A simulator for analyzing a network slicing policy with SLA-based performance isolation of slices

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Efficient allocation of radio access network (RAN) resources remains an important challenge with the introduction of 5G networks. RAN virtualization and division into logical subnetworks - slices - puts this task into a new perspective. In the paper we present a software tool based on the OMNeT++ platform and developed for performance analysis of a network slicing policy with SLA-based slice performance isolation. The tool is designed using the object-oriented approach, which provides flexibility and extensibility of the simulation model. The paper briefly presents the slicing policy under study and focuses on the simulator’s architecture and design. Numerical results are provided for illustration.

作者简介

Nikita Polyakov

Peoples’ Friendship University of Russia (RUDN University)

编辑信件的主要联系方式.
Email: goto97@mail.ru

Bachelor of Science, Master student

6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation

Natalia Yarkina

Peoples’ Friendship University of Russia (RUDN University)

Email: ksam@sci.pfu.edu.ru

Candidate of Sciences

6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation

Konstantin Samouylov

Peoples’ Friendship University of Russia (RUDN University); Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS)

Email: ksam@sci.pfu.edu.ru

Doctor of Technical Sciences, Professor, applied Mathematics & Communications Technology Institute

6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation; 44-2, Vavilov St., Moscow, 119333, Russian Federation

参考

  1. I. Afolabi, T. Taleb, K. Samdanis, A. Ksentini, and H. Flinck, “Network slicing and softwarization: a survey on principles, enabling technologies, and solutions,” IEEE Communications Surveys Tutorials, vol. 20, no. 3, pp. 2429-2453, 2018. doi: 10.1109/COMST.2018.2815638.
  2. R. Su, D. Zhang, R. Venkatesan, Z. Gong, C. Li, F. Ding, F. Jiang, and Z. Zhu, “Resource allocation for network slicing in 5G telecommunication networks: a survey of principles and models,” IEEE Network, vol. 33, no. 6, pp. 172-179, 2019. doi: 10.1109/MNET.2019.1900024.
  3. H. Yu, F. Musumeci, J. Zhang, M. Tornatore, and Y. Ji, “Isolationaware 5G RAN slice mapping over WDM metro-aggregation networks,” Journal of Lightwave Technology, vol. 38, no. 6, pp. 1125-1137, 2020. doi: 10.1109/JLT.2020.2973311.
  4. N. Yarkina, Y. Gaidamaka, L. M. Correia, and K. Samouylov, “An analytical model for 5G network resource sharing with flexible SLA- oriented slice isolation,” Mathematics, vol. 8, 2020. DOI: 10. 3390 / math8071177.
  5. B. Rouzbehani, L. M. Correia, and L. Caeiro, “A service-oriented approach for radio resource management in virtual RANs,” Hindawi Wireless Communications and Mobile Computing, 2018. DOI: 10.1155/ 2018/4163612.
  6. B. Gladkih, Optimization techniques and operations research for computer science bachelors. Part 2. Non-linear and dynamic programming [Metody optimizacii i issledovanie operacij dlya bakalavrov informatiki. CH. 2. Nelinejnoe i dinamicheskoe programmirovanie]. Tomsk: Izd-vo NTL, 2011, in Russian.
  7. A. Virdis and M. Kirsche, Recent Advances in Network Simulation. 2019. doi: 10.1007/978-3-030-12842-5.
  8. R. Lafore, Object-Oriented Programming in C++, 4th Edition. Cours-eSams Publishing, 2001.

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