Inter-Slice Mobility Management in 5G: Motivations, Standard Principles, Challenges and Research Directions

Sajjad, Muhammad Mohtasim; Bernardos, Carlos J.; Jayalath, Dhammika; Tian, Yu-Chu

doi:10.48550/arxiv.2003.11343

Cited by 2 publications

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“…Consequently, mobility management is necessary for specific slices while considering various mo-bility requirements. Therefore, to tackle mobility challenges in network slicing requires the design of a slice-oriented mobility management protocol [38].…”

Section: Mobility Managementmentioning

confidence: 99%

Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey

et al. 2022

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One of the key foundations of 5 th Generation (5G) and beyond 5G (B5G) networks is network slicing, in which the network is partitioned into several separated logical networks, taking into account the requirements of diverse applications. In this context, resource management is of great importance to instantiate and operate network slices and meet their performance and functional requirements. Resource management in Radio Access Networks (RANs) is associated with a range of challenges due to network dynamics and the specific requirements of each application while ensuring performance isolation. In this paper, we present a survey on state-of-the-art works that employ Machine Learning (ML) techniques in RAN slicing. We begin by reviewing the challenges, then we review the existing papers on resource management in a comprehensive manner, and classify the papers based on the used ML algorithm, the addressed challenges, and the type of allocated resources. We evaluate the maturity of current methods and state a number of open challenges and some solutions to address these challenges in RAN resource management.

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Section: Mobility Managementmentioning

confidence: 99%

Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey

et al. 2022

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“…This is to avoid disruption of the provided services in case of unavailability of the MANOr and to reduce latency in uRLLC scenarios on the one hand, and to avoid the single point of failure risk on the other. Besides, mobility in 5G sliced network has to be managed not only among radio access technologies but also among different slices [32]. This should further complicate sliced communications from a security and even performance perspectives.…”

Section: Introductionmentioning

confidence: 99%

Certificateless Public Key Systems Aggregation: An enabling technique for 5G multi-domain security management and delegation

2021

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Inter-Slice Mobility Management in 5G: Motivations, Standard Principles, Challenges and Research Directions

Cited by 2 publications

References 0 publications

Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey

Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey

Certificateless Public Key Systems Aggregation: An enabling technique for 5G multi-domain security management and delegation

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