Zhang, H., Liu, N., Chu, X. orcid.org/0000-0003-1863-6149 et al. (3 more authors) (2017) Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges. IEEE Communications Magazine, 55 (8). pp. 138-145. ISSN 0163- 6804
Abstract
5G networks are expected to be able to satisfy users' different QoS requirements. Network slicing is a promising technology for 5G networks to provide services tailored for users' specific QoS demands. Driven by the increased massive wireless data traffic from different application scenarios, efficient resource allocation schemes should be exploited to improve the flexibility of network resource allocation and capacity of 5G networks based on network slicing. Due to the diversity of 5G application scenarios, new mobility management schemes are greatly needed to guarantee seamless handover in network-slicing-based 5G systems. In this article, we introduce a logical architecture for network-slicing-based 5G systems, and present a scheme for managing mobility between different access networks, as well as a joint power and subchannel allocation scheme in spectrum-sharing two-tier systems based on network slicing, where both the co-tier interference and cross-tier interference are taken into account. Simulation results demonstrate that the proposed resource allocation scheme can flexibly allocate network resources between different slices in 5G systems. Finally, several open issues and challenges in network-slicing-based 5G networks are discussed, including network reconstruction, network slicing management, and cooperation with other 5G technologies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Institute of Electrical and Electronics Engineers, 2017. This is an author produced version of a paper subsequently published in IEEE Communications Magazine. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | 5G networks; network slicing; mobility management; resource allocation; interference management |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Feb 2017 15:57 |
Last Modified: | 15 Mar 2018 15:06 |
Published Version: | https://doi.org/10.1109/MCOM.2017.1600940 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/MCOM.2017.1600940 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:111874 |