Abstract

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.

Highlights

  • In recent years, the 5G paradigm has been gaining momentum with many global research and development (R&D) initiatives launched in major economies worldwide.Referring in particular to Europe, 5G has been recognised as the key enabler for the digitisation of the European economy [1]

  • In the framework of the ALLIANCE project, we have experimentally demonstrated the convergence of a Non-Orthogonal Multiple Access (NOMA)-CAP wireless waveform with a single-carrier wired signal in a Passive Optical Network (PON) scenario using RoF technology [69]

  • We have reviewed the main achievements obtained in the ALLIANCE

Read more

Summary

Introduction

The 5G paradigm has been gaining momentum with many global research and development (R&D) initiatives launched in major economies worldwide.Referring in particular to Europe, 5G has been recognised as the key enabler for the digitisation of the European economy [1]. Network monitoring encompasses a combination of efficient network measurement techniques and Big Data processing methods that, in SDN, are intended to provide a rich view of the network state to the centralised control plane. This eventually enables the automation and improvement of network control and management tasks, such as adapting the network configuration (as the use case previously presented in Section 3.3), predicting traffic and application trends, or preventing potential problems (e.g., performance degradation, security breaches). The decoupling of the control and data planes adds new implications that need to be identified and considered for the design of efficient network analytics solutions This separation introduces a latency in the communication between the control and data planes (i.e., between SDN controllers and forwarding devices). The use of AI-based solutions was expected to achieve better-than-human network operation timescales and optimise the resource use in complex network environments beyond existing solutions (e.g., heuristics, analytical models)

Objectives
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.