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Flexible RAN: Combining Dynamic Baseband Split Selection and Reconfigurable Optical Transport to Optimize RAN Performance
Beijing University of Posts and Telecommunications, China.
RISE Research Institutes of Sweden, Digitala system, Industriella system.ORCID-id: 0000-0002-8160-4484
Ericsson, Sweden.
Beijing University of Posts and Telecommunications, China.
Vise andre og tillknytning
2020 (engelsk)Inngår i: IEEE Network, ISSN 0890-8044, E-ISSN 1558-156X, Vol. 34, nr 4, s. 180-187Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The introduction of functional splits in C-RANs brings a tradeoff between radio performance and transport capacity. Higher-layer splits relax transport capacity requirements, whereas radio performance is not guaranteed. Lower-layer splits are beneficial for the radio performance, but they may require a more expensive and high capacity transport network. Facing the challenge of how to deploy 5G RANs in the short-term future, network operators need to find the best functional split options able to accommodate radio performance requirements without incurring excessive transport network costs. This article presents an architecture referred to as F-RAN able to choose the most appropriate split option while considering time-varying radio performance and the availability of transport resources. F-RAN can accommodate these needs by means of an SDN-based orchestration layer and a programmable optical transport network. The performance of F-RAN is benchmarked against a conventional C-RAN architecture in terms of the number of wavelengths and transponders to be deployed. Simulation results confirm the overall benefits of F-RAN in terms of better utilization of transport resources.

sted, utgiver, år, opplag, sider
2020. Vol. 34, nr 4, s. 180-187
Emneord [en]
5G mobile communication, cloud computing, optical fibre networks, radio access networks, software defined networking, telecommunication computing, transponders, flexible RAN, dynamic baseband split selection, reconfigurable optical transport, C-RAN, higher-layer splits, transport capacity requirements, lower-layer splits, expensive capacity transport network, high capacity transport network, 5G RAN, network operators, functional split options, radio performance requirements, time-varying radio performance, transport resources, F-RAN, SDN-based orchestration layer, programmable optical transport network, C-RAN architecture, transport network costs, Band-pass filters, Machine learning, Electromagnetic interference, Optical network units, Antennas, Optical fiber networks
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Identifikatorer
URN: urn:nbn:se:ri:diva-52391DOI: 10.1109/MNET.001.1900477OAI: oai:DiVA.org:ri-52391DiVA, id: diva2:1529265
Tilgjengelig fra: 2021-02-17 Laget: 2021-02-17 Sist oppdatert: 2021-06-14bibliografisk kontrollert

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