10.1109/ICCW.2017.7962753
https://zenodo.org/records/835770
oai:zenodo.org:835770
Li, Xi
Xi
Li
NEC
Ferdous, Raihana
Raihana
Ferdous
CREATE-NET
Chiasserini, Carla Fabiana
Carla Fabiana
Chiasserini
Politecnico di Torino
Casetti, Claudio Ettore
Claudio Ettore
Casetti
Politecnico di Torino
Moscatelli, Francesca
Francesca
Moscatelli
Nextworks
Landi, Giada
Giada
Landi
Nextworks
Casellas, Ramon
Ramon
Casellas
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Sakaguchi, Kei
Kei
Sakaguchi
FhG-HHI
Chundrigar, Shahzoob Bilal
Shahzoob Bilal
Chundrigar
ITRI
Vilalta, Ricard
Ricard
Vilalta
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Mangues, Josep
Josep
Mangues
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
García-Saavedra, Andrés
Andrés
García-Saavedra
NEC
Costa-Pérez, Xavier
Xavier
Costa-Pérez
NEC
Goratti, Leonardo
Leonardo
Goratti
CREATE-NET
Siracusa, Domenico
Domenico
Siracusa
CREATE-NET
Novel Resource and Energy Management for 5G Integrated Backhaul/Fronthaul (5G-Crosshaul)
Zenodo
2017
Fronthaul/Backhaul
resource managment
energy managment
optimization
SDN/NFV
2017-05-21
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
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.
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European Commission
10.13039/501100000780
671598
5G-Crosshaul: The 5G Integrated fronthaul/backhaul