Article (Scientific journals)
SAST-VNE: A Flexible Framework for Network Slicing in Beyond-5G Integrated Satellite-Terrestrial Networks
MINARDI, Mario; DRIF, Youssouf; VU, Thang Xuan et al.
2025In IEEE Journal on Selected Areas In Communications, 43 (1), p. 234 - 244
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Abstract :
[en] Network slicing (NS) is one of the key techniques to manage logical and functionally separated networks on a common infrastructure, in a dynamic manner. As the complexity of virtualizing a full infrastructure required unprecedented effort, the initial idea of combining satellite and terrestrial networks has not been fully implemented in 5G yet. 6G networks are expected to further bring NS to a substrate network that is more heterogeneous, due to the full integration between terrestrial and satellite networks. NS describes the process of accommodating virtual networks, typically composed of nodes and links with the respective requirements, into the main infrastructure. This is an NP-Hard problem, typically also known as Virtual Network Embedding (VNE). Existing VNE solutions are designed per use-case and lack flexibility, adaptation and traffic-awareness, especially in such dynamic satellite environment. In this work, we investigate the VNE implementation to integrated satellite-terrestrial networks and propose a novel flexible framework, named Slice-Aware VNE for Satellite-Terrestrial (SAST-VNE), which (1) operates based on traffic prioritization, (2) jointly optimizes the load-balancing and the migration cost when network congestion occurs, and (3) provides a near-optimal solution. We compare SAST-VNE to existing well-known near-optimal VNE algorithms such as VINEYard and CEVNE and the shortest-path SN-VNE solution for satellite networks. The simulations showed that SAST-VNE reduces the migration costs between 10% and 40% during satellite handovers while maintaining the network load under control. Furthermore, when congestion occurs, SAST-VNE proved to be flexible in matching the priority of the slice, i.e., tolerated latency, with the time complexity and optimality of the solution.
Disciplines :
Electrical & electronics engineering
Author, co-author :
MINARDI, Mario;  SES Techcom
DRIF, Youssouf ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
VU, Thang Xuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
yes
Language :
English
Title :
SAST-VNE: A Flexible Framework for Network Slicing in Beyond-5G Integrated Satellite-Terrestrial Networks
Publication date :
January 2025
Journal title :
IEEE Journal on Selected Areas In Communications
ISSN :
0733-8716
Publisher :
Institute of Electrical and Electronics Engineers, United States
Volume :
43
Issue :
1
Pages :
234 - 244
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR17220888 - Distributed And Risk-aware Multi-agent Reinforcement Learning For Resources And Control Management In Multilayer Ground-air-space Networks, 2022 (01/09/2023-31/08/2026) - Thang Xuan Vu
FNR14016225 - Integrated Satellite-terrestrial Systems For Ubiquitous Beyond 5g Communications, 2020 (01/10/2020-30/09/2026) - Symeon Chatzinotas
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