Real-time maintenance of latency-sensitive 5G services through network slicing

Montero, Rafael Villar; Agraz, Fernando; Pages, Albert; Spadaro, Salvatore

doi:10.1007/s11107-020-00897-6

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…This proves the potential for PCS to adapt to any rate/reach requirement using the same hardware platform. In ALLIANCE, a complete SDN/NFV-based control/management/orchestration architecture has been designed to deliver network slices customised to the requirements of the vertical services and applications [75][76][77]. The major challenge in this regard is that the provisioning of network slices may affect multiple SDN-controlled segments/technologies (optical access networks, metro, core and DCs).…”

Section: Multicore Fibres and Constellation Shapingmentioning

confidence: 99%

Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond

et al. 2021

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Leaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating 5G Radio Access Networks (RANs), ultra-high-capacity access/metro/core optical networks, and intra-datacentre (DC) network and computational resources into a single converged 5G network infrastructure. The present paper overviews the main achievements obtained in the ALLIANCE project. This project ambitiously aims at architecting a converged 5G-enabled network infrastructure satisfying those needs to effectively realise the envisioned upcoming Digital Society. In particular, we present two networking solutions for 5G and beyond 5G (B5G), such as Software Defined Networking/Network Function Virtualisation (SDN/NFV) on top of an ultra-high-capacity spatially and spectrally flexible all-optical network infrastructure, and the clean-slate Recursive Inter-Network Architecture (RINA) over packet networks, including access, metro, core and DC segments. The common umbrella of all these solutions is the Knowledge-Defined Networking (KDN)-based orchestration layer which, by implementing Artificial Intelligence (AI) techniques, enables an optimal end-to-end service provisioning. Finally, the cross-layer manager of the ALLIANCE architecture includes two novel elements, namely the monitoring element providing network and user data in real time to the KDN, and the blockchain-based trust element in charge of exchanging reliable and confident information with external domains.

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Section: Multicore Fibres and Constellation Shapingmentioning

confidence: 99%

Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond

et al. 2021

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“…In 5G communication network manual maintenance [1], the operation and maintenance quality is often limited by the work experience of the maintenance engineers. And the maintenance knowledge will be lost with maintenance engineer changes.…”

Section: Introductionmentioning

confidence: 99%

Knowledge graph based AR content adaptive generation for 5G communication network maintenance services

Ming,

wang,

xiangyu

et al. 2023

J. Phys.: Conf. Ser.

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5G technology puts forward new requirements for communication network human maintenance services. However, with the complexity of 5G maintenance knowledge and the diversification of maintenance scenarios, the ability of maintenance engineer cannot be greatly improved in a short time. This paper proposed a knowledge graph (KG) based augmented reality (AR) content adaptive generation method for 5G communication network maintenance services. The KG and AR technology are used to reduce the cognitive burden of manual maintenance and improve the efficiency of communication network maintenance.

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A Normalized Slicing-assigned Virtualization Method for 6G-based Wireless Communication Systems

Alharbi

Aljebreen

Tolba

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

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The next generation of wireless communication systems will rely on advantageous 6G features and sophisticated edge Internet of Things (IoT) technology to provide continuous service delegation and resource allocation. Network slicing and virtualization are common in these scenarios to meet user demands and application services. This article introduces a Normalized Slicing-assigned Virtualization Method (NSVM) for satisfying the 6G features in future generation systems. The proposed method relies on available resource roots and time intervals for replications. Based on the availability and Accessibility, the resource virtualization and network slicing processes are forwarded. The proposed method exploits federated learning for determining availability and accessibility models in detecting slicing, virtualization, or both the requirements throughout the resource sharing process. This improves the resource sharing rate, with less latency and high processing despite the user and application demands. The learning models are trained to balance replication and network slicing for confining complexity across different resources. The proposed method's performance is validated using the above metrics for varying users and intervals.

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Real-time maintenance of latency-sensitive 5G services through network slicing

Cited by 3 publications

References 8 publications

Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond

Results and Achievements of the ALLIANCE Project: New Network Solutions for 5G and Beyond

Knowledge graph based AR content adaptive generation for 5G communication network maintenance services

A Normalized Slicing-assigned Virtualization Method for 6G-based Wireless Communication Systems

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