Resource Management From Single-Domain 5G to End-to-End 6G Network Slicing: A Survey

被引:15
作者
Ebrahimi, Sina [1 ]
Bouali, Faouzi [1 ]
Haas, Olivier C. L. [1 ]
机构
[1] Coventry Univ, Ctr Future Transport & Cities, Coventry CV1 5FB, England
来源
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2024年 / 26卷 / 04期
关键词
Resource management; Surveys; 5G mobile communication; Reviews; Research and development; Tutorials; Optimization; Network slicing; end-to-end (E2E); resource management; technological domains; radio access networks (RANs); transport networks (TNs); core networks (CNs); 5G/6G networks; orchestration; resource allocation (RA); ADMISSION CONTROL; RAN; ALLOCATION; ORCHESTRATION; CLOUD; SERVICE; SLICES; OPTIMIZATION; FRAMEWORK; ENERGY;
D O I
10.1109/COMST.2024.3390613
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Network Slicing (NS) is one of the pillars of the fifth/sixth generation (5G/6G) of mobile networks. It provides the means for Mobile Network Operators (MNOs) to leverage physical infrastructure across different technological domains to support different applications. This survey analyzes the progress made on NS resource management across these domains, with a focus on the interdependence between domains and unique issues that arise in cross-domain and End-to-End (E2E) settings. Based on a generic problem formulation, NS resource management functionalities (e.g., resource allocation and orchestration) are examined across domains, revealing their limits when applied separately per domain. The appropriateness of different problem-solving methodologies is critically analyzed, and practical insights are provided, explaining how resource management should be rethought in cross-domain and E2E contexts. Furthermore, the latest advancements are reported through a detailed analysis of the most relevant research projects and experimental testbeds. Finally, the core issues facing NS resource management are dissected, and the most pertinent research directions are identified, providing practical guidelines for new researchers.
引用
收藏
页码:2836 / 2866
页数:31
相关论文
共 276 条
[1]  
5G System, 2023, 3GPP Standard TS 29.520
[2]  
5G Technology World, 2024, UERANSIM: Open source state-of-the-art 5G UE and RAN (gNodeB) simulator
[3]  
6G-XR project, 2023, 6G-XR
[4]   Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach [J].
Abbas, Khizar ;
Khan, Talha Ahmed ;
Afaq, Muhammad ;
Song, Wang-Cheol .
IEEE ACCESS, 2021, 9 (09) :80128-80146
[5]   UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN Slices [J].
Adamuz-Hinojosa, Oscar ;
Ameigeiras, Pablo ;
Munoz, Pablo ;
Lopez-Soler, Juan M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (09) :12124-12138
[6]   Potential-Game-Based 5G RAN Slice Planning for GBR Services [J].
Adamuz-Hinojosa, Oscar ;
Munoz, Pablo ;
Ameigeiras, Pablo ;
Lopez-Soler, Juan M. .
IEEE ACCESS, 2023, 11 :4763-4780
[7]   Toward Using Reinforcement Learning for Trigger Selection in Network Slice Mobility [J].
Addad, Rami Akrem ;
Cadette Dutra, Diego Leonel ;
Taleb, Tarik ;
Flinck, Hannu .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021, 39 (07) :2241-2253
[8]   Optimization Model for Cross-Domain Network Slices in 5G Networks [J].
Addad, Rami Akrem ;
Bagaa, Miloud ;
Taleb, Tarik ;
Dutra, Diego Leonel Cadette ;
Flinck, Hannu .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 19 (05) :1156-1169
[9]   Modeling and Analyzing Preemption-Based Service Prioritization in 5G Networks Slicing Framework [J].
Adou, Yves ;
Markova, Ekaterina ;
Gaidamaka, Yuliya .
FUTURE INTERNET, 2022, 14 (10)
[10]   Growth in pearl oysters: A review of genetic and environmental influences [J].
Adzigbli, Linda ;
Wang, Ziman ;
Zhao, Zihan ;
Yang, Chuangye ;
Li, Junhui ;
Deng, Yuewen .
AQUACULTURE RESEARCH, 2020, 51 (01) :18-28