Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks
IEEE Wireless Communications and Networking Conference, WCNC
5G networks are designed not only to transport data, but also to process them while supporting a vast number of services with different key Performance Indicators (KPIs). Network virtualization has emerged to enable this vision, however it calls for designing efficient computing and network resource allocation schemes to support diverse services, while jointly considering all KPIs associated with these services. Thus, this paper proposes a dynamic network slicing and resource allocation framework that aims at maintaining high-level network operational performance, while fulfilling diverse services' requirements and KPIs, e.g., availability, reliability, and data quality. Differently from the existing works, which are designed considering traditional metrics like throughput and latency, we present a novel methodology and resource allocation schemes that enable high-quality selection of radio points of access, resource allocation, and data routing from end users to the cloud. Our results depict that the proposed solutions could obtain the best trade-off between diverse services' requirements when compared to baseline approaches that consider partial network view or fair resource allocation. © 2022 IEEE.
Benchmarking, Economic and social effects, Network function virtualization, Queueing networks, Resource allocation, Software defined networking, Virtual reality, Dynamic network, Key performance indicators, Network resource, Network slicing, RAN slicing, Resource allocation schemes, Resources allocation, Service requirements, Software-defined networkings, Transport data, 5G mobile communication systems
A. A. Abdellatif, A. Mohamed, A. Erbad and M. Guizani, "Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks," 2022 IEEE Wireless Communications and Networking Conference (WCNC), Apr 10-13, 2022, pp. 262-267, doi: 10.1109/WCNC51071.2022.9771877