Title
Novel Resource and Energy Management for 5G integrated backhaul/fronthaul (5G-Crosshaul).
Abstract
The integration of both fronthaul and backhaul into a single transport network (namely, 5G-Crosshaul) is envisioned for the future 5G transport networks. This requires a fully integrated and unified management of the fronthaul and backhaul resources in a cost-efficient, scalable and flexible way through the deployment of an SDN/NFV control framework. This paper presents the designed 5G-Crosshaul architecture, two selected SDN/NFV applications targeting for cost-efficient resource and energy usage: the Resource Management Application (RMA) and the Energy Management and Monitoring Application (EMMA). The former manages 5G-Crosshaul resources (network, computing and storage resources). The latter is a special version of RMA with the focus on the objectives of optimizing the energy consumption and minimizing the energy footprint of the 5G-Crosshaul infrastructure. Besides, EMMA is applied to the mmWave mesh network and the high speed train scenarios. In particular, we present the key application design with their main components and the interactions with each other and with the control plane, and then we present the proposed application optimization algorithms along with initial results. The first results demonstrate that the proposed RMA is able to cost-efficiently utilize the Crosshaul resources of heterogeneous technologies, while EMMA can achieve significant energy savings through energy-efficient routing of traffic flows. For experiments in real system, we also set up Proof of Concepts (PoCs) for both applications in order to perform real trials in the field.
Year
Venue
Field
2017
ICC Workshops
Resource management,Mesh networking,Energy management,Backhaul (telecommunications),Computer science,Computer network,Real-time computing,Network management application,Energy consumption,Transport network,Scalability
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
11
15
Name
Order
Citations
PageRank
Xi Li110829.17
Raihana Ferdous200.34
C. F. Chiasserini32177222.07
Claudio Casetti41320102.36
Francesca Moscatelli501.01
g landi6118.09
R. Casellas715349.06
Kei Sakaguchi830249.22
Shahzoob Bilal Chundrigar900.68
Ricard Vilalta108837.18
Josep Mangues11152.43
Andres Garcia-Saavedra1234832.85
Xavier Costa-Pérez1344146.50
Leonardo Goratti1433437.38
Domenico Siracusa157119.37