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

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Abstract

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.
Original languageEnglish
Pages (from-to)2836-2866
Number of pages31
JournalIEEE Communications Surveys and Tutorials
Volume26
Issue number4
Early online date17 Apr 2024
DOIs
Publication statusPublished - 2024

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Funding

This work was supported by the Centre for Future Transport and Cities (CFTC), Coventry University, Coventry, UK.

FundersFunder number
Coventry University

    Keywords

    • Network slicing
    • End-to-End
    • Resource management
    • Technological Domains
    • Radio access networks
    • transport networks
    • Core Networks
    • 5G/6G Networks
    • Orchestration
    • Resource Allocation

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering
    • Information Systems

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      Ebrahimi, S., Bouali, F. & Haas, O. C. L., 7 Apr 2025, (E-pub ahead of print) 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, p. 1-6 6 p. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

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