Z. Shu and T. Taleb, "A Novel QoS Framework for Network Slicing in 5G and Beyond Networks Based on SDN and NFV," in IEEE Network, vol. 34, no. 3, pp. 256-263, May/June 2020, doi: 10.1109/MNET.001.1900423
A novel QoS framework for network slicing in 5G and beyond networks based on SDN and NFV
|Author:||Shu, Zhaogang1; Taleb, Tarik2,3,4|
1Comupter and Information College and Key Laboratory of Smart Agriculture and Forestry,Fujian Agriculture and Forestry University, China
2Department of Communications and Networking, School of Electrical Engineering, Aalto University, Finland
3Information Technology and Electrical Engineering, Oulu University, Finland
4Department of Computer and Information Security, Sejong University, South Korea
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020110288924
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2020-11-02
Along with the development of 5G, NS plays an important role in the application of mobile networks to meet all kinds of personalized requirements. In terms of NS concept, network operators can vertically split a physical network into multiple logically separate networks to flexibly meet QoS requirements, which are mainly represented as higher bandwidth and lower latency. In this article, we propose a novel QoS framework of NS in 5G and beyond networks based on SDN and NFV to guarantee key QoS indicators for different application scenarios, such as eMBB, mMTC and URLLC. In this QoS framework, a 5G network is divided into three parts, RAN, TN and CN, to form three types of NS with different network resource allocation algorithms. The performance evaluation in the simulation environment of Mininet shows that the proposed QoS framework can steer different flows into different queues of OVS, schedule network resources for various NS types and provide reliable E2E QoS for users according to preconfigured QoS requirements.
|Pages:||256 - 263|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research work has partially received funding from CERNET innovation project of China (NO.NGII20190102). It was also partially supported by the European Union’s Horizon 2020 Research and Innovation Program through the MonB5G Project under Grant No. 871780, by the Academy of Finland 6Genesis project under Grant No. 318927, and by the Academy of Finland CSN project under Grant No. 311654.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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