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Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

Authors :
Simon Rommel
Idelfonso Tafur Monroy
Doruk Sahinel
Terahertz Systems
Electro-Optical Communication
Center for Terahertz Science and Technology Eindhoven
Center for Quantum Materials and Technology Eindhoven
Terahertz Photonic Systems
Center for Wireless Technology Eindhoven
Source :
Applied Sciences, Special Issue Intelligent Network Orchestration and Resource Management in 5G/6G Wireless Networks, Applied Sciences, Vol 12, Iss 221, p 221 (2022), Applied Sciences, 12(1):221. Multidisciplinary Digital Publishing Institute (MDPI)
Publication Year :
2022

Abstract

Three convergent processes are likely to shape the future of the internet beyond-5G: The convergence of optical and millimeter wave radio networks to boost mobile internet capacity, the convergence of machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management. The integration of network virtualization technologies creates the incentive to customize and dynamically manage the resources of a network, making network functions, and storage capabilities at the edge key resources similar to the available bandwidth in network communication channels. Aiming to understand the relationship between resource management, virtualization, and the dense 5G access and fronthaul with an emphasis on converged radio and optical communications, this article presents a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective. A research agenda is also proposed by identifying current state-of-the-art solutions and the need to shift all the convergent issues towards building an advanced resource management mechanism for beyond-5G.

Details

Language :
English
ISSN :
20763417
Volume :
12
Issue :
1
Database :
OpenAIRE
Journal :
Applied Sciences
Accession number :
edsair.doi.dedup.....5febe89d9725f29b61cb52aab95534a0
Full Text :
https://doi.org/10.3390/app12010221