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

2021 ◽  
Vol 12 (1) ◽  
pp. 221
Author(s):  
Doruk Sahinel ◽  
Simon Rommel ◽  
Idelfonso Tafur Monroy

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.

Author(s):  
Manuel Stein ◽  
Karsten Oberle ◽  
Thomas Voith ◽  
Dominik Lamp ◽  
Sören Berger

This chapter provides an overview on related state of the art technologies regarding topics such as QoS provisioning, virtualization, and network resource management. This background is enriched with latest research results on future trends and advances in state of the art in network management.


2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Zhou Jianming ◽  
Liu Fan ◽  
Lu Qiuyuan

In mobile Internet of Tings, based on cross-layer design and resource-aware scheduling, the combination of light weight coding and compressed sensing is used to improve the real-time performance of acquisition of system resource and reliability of resource management in this paper. Compressed sensing scheme based on the adaptive frame format definition of lightweight coding is able to set up the parameters such as sample signal, signal and hops. The nonlinear relationship matrixes between resource information of sensors or system and quality of services are built to manage the global or local network resource scheduling. Experimental results show that the proposed scheme is better than the traditional scheme or resource management based on compressed sensing alone scheme, which can make the system be able to achieve optimal resource allocation.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 29106-29117
Author(s):  
Konstantinos Antonakoglou ◽  
Maliheh Mahlouji ◽  
Toktam Mahmoodi

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