Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks

Mohammedali, N A, Kanakis, Triantafyllos, Al-Sherbaz, Ali ORCID: 0000-0002-0995-1262 and Agyeman, Michael Opoku (2022) Performance Evaluation for End-to-End Slice Management in 5G/B5G Cellular Networks. In: 2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) 22-24 Sept. 2022. Institute of Electrical and Electronics Engineers Inc., Split, Croatia, pp. 1-6. ISBN 9789532901177

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End-to-End (E2E) virtual networks represent a key technology in future cellular networks. Generally, the E2E connection means each slice has an independent part of the RAN, User Plane Function (UPF) and the 5G Core. Within each slice, a subscriber may have one or more Quality of Service (QoS) flows. These flows only exist within the slices. According to the 3G Partnership Project (3GPP) Technical Specification (TS), it could be at most eight Single Network Slice Selection Assistance Informations (S- NSSAIs) in the Allowed list. Requested NSSAIs sent in signalling messages; registration request, accept and respectively; between the user and the network. These messages allow the network to select the serving Access and Mobility Management Function (AMF), network slices and Network Slice Instances (NSIs) for the user. The research idea is to improve the Quality of Service (QoS) and the Quality of Experience (QoE) for the user when connecting to different slices on the 5G systems. The slice performance for one slice should not be affected by other slice traffic. This paper evaluates the performance of E2E 5G slicing in terms of throughput, jitter, reliability, transmission rate and mobility under different circumstances. In the proposed system, the performance of the slice is checked when the user connects to eight slices or more at the same time. In addition, we propose a slice termination and connection algorithm that allows the user to register new slices. Moreover, the algorithm allows users who are already registered to be released after using slices, enabling more effective use of the network resources.

Item Type: Book Section
Article Type: Article
Additional Information: UoG subscribes to IEEE, therefore UoG current members can access the full text via the publisher link. doi: 10.23919/SoftCOM55329.2022.9911525
Uncontrolled Keywords: 5G Slicing; Future Network; Inter-Slice; IntraSlice; Sub-Slices; Network Services; Isolation; NSSF; NS; MaaS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Kate Greenaway
Date Deposited: 21 Oct 2022 10:44
Last Modified: 31 Oct 2023 11:29

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