Network slicing, a key technology of next-generation wireless networks, has undergone significant evolution from its inception as Dedicated Core Network (DCN) in 4G-LTE to its current state in 5G-Advanced. This paper provides a comprehensive analysis of network slicing enhancements across 3GPP releases 13 to 17, categorized into three phases: 5G-Basic (Release 15), early 5G-Evolution (Release 16), and advanced 5G-Evolution (Release 17). Furthermore, our study identifies persistent challenges in network slicing implementation and proposes innovative enhancements for 5G-Advanced (Release 18), including a novel machine learning-based approach to minimize service interruptions within a Registration Area (RA). This approach combines predictive insights from a Long Short-Term Memory (LSTM) model with a Dynamic Proportional Resource Allocation (DPRA) method for resource reconfiguration. Evaluation of the LSTM-DPRA scheme demonstrates significant performance improvements and reduced service interruptions compared to benchmark schemes, contributing to the development of more efficient and reliable network slicing.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Proactive Resource Management for Seamless Service: A Transition from 5G-Basic to 5G-Advanced Network Slicing


    Beteiligte:
    Tariq, Muhammad Ashar (Autor:in) / Saad, Malik Muhammad (Autor:in) / Ajmal, Mahnoor (Autor:in) / Jeon, Donghyun (Autor:in) / Kim, Jinhong (Autor:in) / Kim, Dongkyun (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    629375 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Quality of Service Driven Resource Allocation in Network Slicing

    S, Saibharath / Mishra, Sudeepta / Hota, Chittaranjan | IEEE | 2020


    Exploring Seamless Connectivity and Proactive Handover Techniques in VANET Systems

    Mapp, Glenford / Gosh, Arindam / Paranthaman, Vishnu Vardhan et al. | Springer Verlag | 2016



    Proactive Management of Service and Maintenance Conflicts

    Szymkowiak, J. A. / International Heavy Haul Association | British Library Conference Proceedings | 1991


    Safe and Fast Reinforcement Learning for Network Slicing Resource Allocation

    Massaro, Antonio / Wellington, Dan / Aghasaryan, Armen et al. | IEEE | 2023