Dynamic Intent-Aware URSP: Advancing Adaptive Network Slicing for 5G and Beyond
DOI:
https://doi.org/10.22399/ijcesen.4184Keywords:
Network Slicing, User Equipment Route Selection Policy, Intent-Based Networking, 5G Networks, Sustainability-Aware RoutingAbstract
The 3GPP network slicing standard allows mobile operators to provide differentiated services using the common 5G infrastructure when using User Equipment Route Selection Policy mechanisms. The modern versions of URSP are still largely static and do not provide any contextual flexibility to deal with dynamic application needs, enterprise guidelines, and efficiency aspects of energy consumption. To overcome these limitations, the Dynamic Intent-Aware URSP Framework introduces intent recognition, hierarchical policy coordination, and sustainability-conscious metrics to URSP descriptors through the use of artificial intelligence. The framework facilitates cross-slice adaptation and service-level agreement assurance with descriptors of URSP that are extended to represent the user intent, enterprise policy, and energy-efficiency requirements. Simulation outcomes show that the quality-of-service stability, compliance with service-level agreement, and energy saving are higher than the baseline URSP approaches. The contribution bridges the gap between intent-driven networking and 3GPP-defined slicing architectures to progress autonomous service delivery in next-generation networks.
References
[1] Riccardo Trivisonno, et al., "Network slicing for 5G systems: A review from an architecture and standardization perspective," IEEE, 2017. Available: https://ieeexplore.ieee.org/document/8088595 DOI: https://doi.org/10.1109/CSCN.2017.8088595
[2] ETSI TS 123 503 V16.5.0 (2020-07), "5G; Policy and charging control framework for the 5G System (5GS); Stage 2 (3GPP TS 23.503 version 16.5.0 Release 16)," ETSI, 2020, Available: https://www.etsi.org/deliver/etsi_ts/123500_123599/123503/16.05.00_60/ts_123503v160500p.pdf
[3] Peter Rost et al., "Network Slicing to Enable Scalability and Flexibility in 5G Mobile Network," IEEE, 2020.. Available: https://ieeexplore.ieee.org/document/7926920
[4] Xenofon Foukas et al., "Network Slicing in 5G: Survey and Challenges," IEEE, 2017. Available: https://ieeexplore.ieee.org/document/7926923 DOI: https://doi.org/10.1109/MCOM.2017.1600951
[5] Matias Richart, et al., "Resource Slicing in Virtual Wireless Networks: A Survey," ACM Digital Library, Available: https://dl.acm.org/doi/10.1109/TNSM.2016.2597295
[6] Ibrahim Afolabi, et al., "Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions," IEEE, Available: https://ieeexplore.ieee.org/document/8320765
[7] Godfrey Anuga Akpakwu et al., "A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges," IEEE, 2017. Available: https://ieeexplore.ieee.org/document/8141874 DOI: https://doi.org/10.1109/ACCESS.2017.2779844
[8] Petar Popovski et al., "5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View,” arXiv, 2018.. Available: https://arxiv.org/pdf/1804.05057 DOI: https://doi.org/10.1109/ACCESS.2018.2872781
[9] Rashid Mijumbi et al., "Network Function Virtualization: State-of-the-Art and Research Challenges," IEEE Communications Surveys & Tutorials, vol. 18, no. 1, pp. 236-262, First Quarter 2016. doi: 10.1109/COMST.2015.2477041. Available: https://ieeexplore.ieee.org/document/7243304 DOI: https://doi.org/10.1109/COMST.2015.2477041
[10] Madhusanka Liyanage, et al., "A Comprehensive Guide to 5G Security," ResearchGate, 2018. Available: https://www.researchgate.net/publication/316244138_A_Comprehensive_Guide_to_5G_Security DOI: https://doi.org/10.1002/9781119293071
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