Network Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutions
Loading...
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
View publication in the Research portal
View/Open full text file from the Research portal
Other link related to publication
Date
2020-01-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
84-93
Series
IEEE NETWORK, Volume 34, issue 1
Abstract
Network slicing offers numerous benefits, particularly the ability to deliver highly customizable services to new industry sectors that have been unserved or inadequately served by current mobile network operators. Among new industry use cases that are targeted by the fifth generation (5G) mobile systems, there exist scenarios that go beyond what the current device-centric mobility approaches can support. The mobility of low latency communication services, shared by a group of moving devices, e.g., autonomous vehicles that share sensor data, is a prime example of these cases. These use cases' demands for ultra-low latency can be addressed by leveraging the Multi-Access Edge Computing (MEC) concept, techniques for live migration of virtual resources, Software Defined Networking (SDN), and network slicing. In this article, we define different slice mobility patterns, different methods for grouping users, and different triggers for network slice mobility. Furthermore, we evaluate the mobility of services and network slices based on the simultaneous migrations of multiple containers.Description
Avaa käsikirjoitus, kun julkaistu | openaire: EC/H2020/761898/EU//MATILDA
Keywords
5G, Network Slice, Network Softwarisation, Migration, NFV, SDN, MEC
Citation
Addad , R A , Taleb , T , Flinck , H , Bagaa , M & Dutra , D 2020 , ' Network Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutions ' , IEEE NETWORK , vol. 34 , no. 1 , 8977449 , pp. 84-93 . https://doi.org/10.1109/MNET.2019.1800268