5G-XHaul: A Novel Wireless-Optical SDN Transport Network to Support Joint 5G Backhaul and Fronthaul Services

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3035390 46 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
5G-XHaul: A Novel Wireless-Optical SDN Transport Network to Support Joint 5G Backhaul and Fronthaul Services
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
The increased carrier bandwidth and the number of antenna elements expected in 5G networks require a redesign of the traditional IP-based backhaul and CPRI-based fronthaul interfaces used in 4G networks. We envision future mobile networks to encompass these legacy interfaces together with novel 5G RAN functional splits. In this scenario, a consistent transport network architecture able to jointly support backhaul and 4G/5G fronthaul interfaces is of paramount importance. In this article we present 5G-XHaul, a novel transport network architecture featuring wireless and optical technologies and a multi-technology software defined control plane, which is able to jointly support backhaul and fronthaul services. We have deployed and validated the 5G-XHaul architecture in a city-wide testbed in Bristol. © 2019 IEEE.
Έτος δημοσίευσης:
2019
Συγγραφείς:
Camps-Mur, D.
Gutiérrez, J.
Grass, E.
Tzanakaki, A.
Flegkas, P.
Choumas, K.
Giatsios, D.
Beldachi, A.F.
Diallo, T.
Zou, J.
Legg, P.
Bartelt, J.
Chaudhary, J.K.
Betzler, A.
Aleixendri, J.J.
González, R.
Simeonidou, D.
Περιοδικό:
IEEE Communications Magazine
Εκδότης:
Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Τόμος:
57
Αριθμός / τεύχος:
7
Σελίδες:
99-105
Λέξεις-κλειδιά:
Antennas; Computer architecture; Integrated optics; Microprocessor chips; Mobile telecommunication systems; Network architecture; Optical communication; Passive networks; Passive optical networks; Queueing networks; Wavelength division multiplexing, Antenna element; Carrier bandwidth; Legacy interfaces; Mobile communications; Optical network units; Optical technology; Transport networks; Wireless-optical, 5G mobile communication systems
Επίσημο URL (Εκδότης):
DOI:
10.1109/MCOM.2019.1800836
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