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Comparative Analysis on Network Slicing Techniques in 5G Environment

5G 환경에서의 네트워크 슬라이싱 연구 비교 분석

  • 고아름 (가천대학교 컴퓨터공학과) ;
  • 지일환 (가천대학교 정보보호학과) ;
  • 진호준 (가천대학교 정보보호학과) ;
  • 전승호 (가천대학교 컴퓨터공학부 스마트보안전공) ;
  • 서정택 (가천대학교 컴퓨터공학부)
  • Received : 2023.07.31
  • Accepted : 2023.09.27
  • Published : 2023.10.30
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Abstract

Network slicing refers to a technology that divides network infrastructure into multiple parts. Network slicing enables flexible network configuration while minimizing the physical resources required for network division. For this reason, network slicing technology has recently been developed and introduced in a form suitable for the 5G environment for efficient management of large-scale network environments. However, systematic analysis of network slicing research in the 5G environment has not been conducted, resulting in a lack of systematic analysis of the technology. Accordingly, in this paper, we provide insight into network slicing technology in the 5G network environment by conducting a comparative analysis of the technology. In this study's comparative analysis, 13 literatures on network slicing in the 5G environment was identified and compared and analyzed through a systematic procedure. As a result of the analysis, three network slicing technologies frequently used for 5G networks were identified: RAN (radio access network) slicing, CN (core network) slicing, and E2E (end-to-end) sliding. These technologies are mainly used for network services. It was confirmed that research is being conducted to achieve quality improvement and network isolation. It is believed that the results of this comparative analysis study can contribute to 6G technology research as a future direction and utilization plan for network slicing research.

네트워크 슬라이싱 (network slicing)은 네트워크 인프라를 여러 개로 분할하는 기술을 의미한다. 네트워크 슬라이싱은 네트워크 분할에 들어가는 물리적 자원을 최소화하면서, 유연한 네트워크 구성을 가능하게 한다. 이러한 이유로 최근 네트워크 슬라이싱 기술은 대규모 네트워크 환경의 효율적인 관리를 위해 5G 환경에 적합한 형태로 개발 및 도입되었다. 하지만, 5G 환경에서의 네트워크 슬라이싱 연구에 대한 체계적인 분석이 이루어지고 있지 않아 해당 기술에 대한 체계적인 분석이 부족한 실정이다. 이에 본 논문에서는, 5G 네트워크 환경에서의 네트워크 슬라이싱 기술에 대한 비교 분석을 수행함으로써 해당 기술에 대한 통찰을 제공한다. 본 연구의 비교 분석에서는 체계적인 절차를 통해 5G 환경에서의 네트워크 슬라이싱에 대한 13개의 문헌을 식별하고 비교 분석하였다. 분석 결과, 5G 네트워크를 대상으로 자주 사용되는 3가지 네트워크 슬라이싱 기술인 RAN(radio access network) 슬라이싱, CN(core network) 슬라이싱, E2E(end-to-end) 슬라이딩은 확인하였으며, 이러한 기술은 주로 네트워크 서비스 품질 향상과 네트워크 격리를 달성하기 위해 연구되고 있음을 확인했다. 본 비교 분석 연구 결과는 앞으로의 네트워크 슬라이싱 연구 방향과 활용방안으로서 6G 기술 연구에도 기여할 수 있을 것이라고 판단한다.

Keywords

Acknowledgement

이 논문은 2023 년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임(No.2021-0-01806, 스마트 공장 보안 내재화 및 보안관리 기술 개발).

References

  1. S. Zhang, "An Overview of Network Slicing for 5G," in IEEE Wireless Communications, vol. 26, no. 3, pp. 111-117, June 2019 https://doi.org/10.1109/MWC.2019.1800234
  2. A. Nassar and Y. Yilmaz, "Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities," in IEEE Internet of Things Journal, vol. 9, no. 1, pp. 222-235, 1 January, 2022 https://doi.org/10.1109/JIOT.2021.3091674
  3. J. Ordonez-Lucena et al.,"Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges," in IEEE Communications Magazine, vol. 55, no. 5, pp. 80-87, May 2017 https://doi.org/10.1109/MCOM.2017.1600935
  4. Samsung, "Technical White Paper Network Slicing", April 2020
  5. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., Altman, D., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J.A., Clark, J., Clarke, M., Cook, D., D'Amico, R., Deeks, J.J., Devereaux, P.J., Dickersin, K., Egger, M., Ernst, E., Gotzsche, P.C., Grimshaw, J., Guyatt, G., Higgins, J., Ioannidis, J.P., Kleijnen, J., Lang, T., Magrini, N., McNamee, D., Moja, L., Mulrow, C., Napoli, M., Oxman, A., Pham, B., Rennie, D., Sampson, M., Schulz, K.F., Shekelle, P.G., Tovey, D., Tugwell, P., "Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement." Annals of internal medicine, vol.151, no. 4, pp 264-269, August. 2009 https://doi.org/10.7326/0003-4819-151-4-200908180-00135
  6. S. F. Abedin et al, "Elastic O-RAN Slicing for Industrial Monitoring and Control: A Distributed Matching Game and Deep Reinforcement Learning Approach," in IEEE Transactions on Vehicular Technology, vol. 71, no. 10, pp. 10808-10822, October. 2022 https://doi.org/10.1109/TVT.2022.3188217
  7. M. Setayesh et al, "Joint PRB and Power Allocation for Slicing eMBB and URLLC Services in 5G C-RAN," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6
  8. Liubogoshchev et al "DeSlice: An Architecture for QoE-Aware and Isolated RAN Slicing", Sensors, vol.23, no. 9, pp. 4351, September 2023
  9. A. A. Khan et al "An End-to-End (E2E) Network Slicing Framework for 5G Vehicular Ad-Hoc Networks," in IEEE Transactions on Vehicular Technology, vol. 70, no. 7, pp. 7103-7112, July 2021 https://doi.org/10.1109/TVT.2021.3084735
  10. Yarkina, N et al., "Multi-tenant resource sharing with equitable-priority-based performance isolation of slices for 5G cellular systems", Computer Communications vol. 188, pp. 39-51, April 2022 https://doi.org/10.1016/j.comcom.2022.02.019
  11. W. F. Villota-Jacome et al., "Admission Control for 5G Core Network Slicing Based on Deep Reinforcement Learning," in IEEE Systems Journal, vol. 16, no. 3, pp. 4686-4697, Sept. 2022 https://doi.org/10.1109/JSYST.2022.3172658
  12. Y. -S. Chiu et al., "A Cloud Native Management and Orchestration Framework for 5G End-to-End Network Slicing," 2022 IEEE International Conference on Service-Oriented System Engineering (SOSE), Newark, CA, USA, 2022, pp. 69-76
  13. H. Xiang, S. Yan and M. Peng, "A Realization of Fog-RAN Slicing via Deep Reinforcement Learning," in IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2515-2527, April 2020 https://doi.org/10.1109/TWC.2020.2965927
  14. Marinova, S et al., "End-to-end network slicing for future wireless in multi-region cloud platforms", Computer Networks, vol.177 pp.107298, August 2020
  15. ZHARABAD et al., "Network slicing in virtualized 5G Core with VNF sharing". Journal of Network and Computer Applications, vol. 215, pp. 103631., June 2023
  16. M. Masoudi et al., "Energy-Optimal End-to-End Network Slicing in Cloud-Based Architecture," in IEEE Open Journal of the Communications Society, vol. 3, pp. 574-592, 2022 https://doi.org/10.1109/OJCOMS.2022.3162116
  17. B. Yin et al., "Connectivity Maximization in Non-Orthogonal Network Slicing Enabled Industrial Internet-of-Things With Multiple Services," in IEEE Transactions on Wireless Communications, vol. 22, no. 8, pp. 5642-5656, Aug. 2023 https://doi.org/10.1109/TWC.2023.3235748
  18. Botez, R et al., & Dobrota, V. "Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks". Sensors, vol. 23, no. 13, pp. 6053, June 2023
  19. Telecommunications Technology Association, Dictionary of information and communication terms, available: http://terms.tta.or.kr/dictionary/dictionaryView.do?word_seq=039873-8
  20. Y. He et al., "Cross-Chain Trusted Service Quality Computing Scheme for Multichain-Model-Based 5G Network Slicing SLA," in IEEE Internet of Things Journal, vol. 10, no. 14, pp. 12126-12139, 15 July15, 2023 https://doi.org/10.1109/JIOT.2021.3132388
  21. S. Wijethilaka and M. Liyanage, "Survey on Network Slicing for Internet of Things Realization in 5G Networks," in IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 957-994, 2021 https://doi.org/10.1109/COMST.2021.3067807
  22. A. Checko et al., "Cloud RAN for Mobile Networks-A Technology Overview," in IEEE Communications Surveys & Tutorials, vol. 17, no. 1, pp. 405-426, Firstquarter 2015 https://doi.org/10.1109/COMST.2014.2355255
  23. Chiang et al., "Network Slicing-Enabled Green C-RAN." Encyclopedia of Wireless Networks. Cham: Springer International Publishing, pp. 997-1002, January 2020.
  24. Telecommunications Technology Association, Dictionary of information and communication terms, available :http://terms.tta.or.kr/dictionary/dictionaryView.do?word_seq=191769-1
  25. D. Sattar and A. Matrawy, "Towards Secure Slicing: Using Slice Isolation to Mitigate DDoS Attacks on 5G Core Network Slices," 2019 IEEE Conference on Communications and Network Security (CNS), Washington, DC, USA, 2019, pp. 82-90
  26. Jia, Q et al., "Efficient caching resource allocation for network slicing in 5G core network". IET Communications, vol.11, no.18 pp. 2792-2799., November,2017 https://doi.org/10.1049/iet-com.2017.0539
  27. Botez, R et al., "SDN-based network slicing mechanism for a scalable 4G/5G core network: A kubernetes approach". Sensors, vol. 21 no. 11, pp. 3773, May 2021
  28. An, X., Zhou et al., "On end to end network slicing for 5G communication systems. Transactions on Emerging Telecommunications Technologies", vol.28, no.4 , April, 2017
  29. W. Guan et al., "A Service-Oriented Deployment Policy of End-to-End Network Slicing Based on Complex Network Theory," in IEEE Access, vol. 6, pp. 19691-19701, April, 2018 https://doi.org/10.1109/ACCESS.2018.2822398
  30. Kotulski, Z et al., "Towards constructive approach to end-to-end slice isolation in 5G networks". EURASIP Journal on Information Security, vol. 2018, no. 2, pp. 1-23., March 2018 https://doi.org/10.1186/s13635-018-0071-1
  31. QSAN Technology, QoS (Quality of Service) White Paper. QSAN Documents. July 2022
  32. A. O. Adedayo and B. Twala, "QoS functionality in software defined network," 2017 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea (South), 2017, pp. 693-699,
  33. X. Xue et al., "SDN-Controlled and Orchestrated OPSquare DCN Enabling Automatic Network Slicing With Differentiated QoS Provisioning," in Journal of Lightwave Technology, vol. 38, no. 6, pp. 1103-1112, March, 2020 https://doi.org/10.1109/JLT.2020.2965640
  34. Lillicrap et al. "Continuous control with deep reinforcement learning." arXiv preprint arXiv:1509.02971 2015.
  35. A. J. Gonzalez et al., "The Isolation Concept in the 5G Network Slicing," 2020 European Conference on Networks and Communications (EuCNC), Dubrovnik, Croatia, 2020, pp. 12-16
  36. V. A. Cunha et al., "5 Growth: Secure and Reliable Network Slicing for Verticals," 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Porto, Portugal, 2021, pp. 347-352
  37. S. D. A. Shah et al., "Cloud-Native Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing: A Survey," in IEEE Access, vol. 9, pp. 10903-10924, 2021 https://doi.org/10.1109/ACCESS.2021.3050155
  38. Y. Wu et al., "A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory," in IEEE Communications Surveys & Tutorials, vol. 24, no. 2, pp. 1175-1211, Secondquarter, 2022 https://doi.org/10.1109/COMST.2022.3158270