DocumentCode
20686
Title
Software-defined networking in cellular radio access networks: potential and challenges
Author
Arslan, Mustafa ; Sundaresan, Karthikeyan ; Rangarajan, Sampath
Author_Institution
NEC Labs. America Inc., Princeton, NJ, USA
Volume
53
Issue
1
fYear
2015
fDate
Jan-15
Firstpage
150
Lastpage
156
Abstract
Software-defined networking has brought both performance and management benefits to wired networks. It is natural to wonder if SDN principles also apply and can deliver similar benefits to RANs. It is this question that we intend to address in this article. We first highlight that the core SDN principle of decoupling control and data planes already exists in RANs in the form of self-organizing networking solutions, which can optimize RAN performance at coarse timescales. In addition to control/data plane separation, we also elaborate how fine timescale optimizations such as coordinated multi-point transmission are made practical with the help of cloud RANs (C-RANS), which offer the notion of processing decoupled from transmission within the data plane. We finally discuss the potential and challenges related to a less explored application of SDN in the RAN, which is programming the fronthaul network in a C-RAN. We argue that this novel notion of software-defined fronthaul, SDF, has the power to orchestrate novel applications and thus should be a key area of focus in RAN optimization.
Keywords
cellular radio; optimisation; radio access networks; software defined networking; C-RAN; SDF; cellular radio access network; cloud RAN; core SDN principle; data plane separation; self-organizing networking; software defined fronthaul; software defined networking; timescale optimization; Base stations; Dense estimation; Distributed databases; Interference; Optimization; Process control; Radio access networks; Software defined radio; Wireless communication; Wireless networks;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2015.7010528
Filename
7010528
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