2015
DOI: 10.1109/mvt.2014.2380632
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Future RAN Architecture: SD-RAN Through a General-Purpose Processing Platform

Abstract: Abstract-In this article, we identify and study the potential of an integrated deployment solution for energy efficient cellular networks combining the strengths of two very active currently research themes: software defined radio access networks (SD-RAN) and decoupled signaling and data transmissions, or beyond cellular green generation (BCG2) architecture, for enhanced energy efficiency. While SD-RAN envisions a decoupled centralized control plane and data forwarding plane for flexible control, the BCG2 arch… Show more

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Cited by 26 publications
(31 citation statements)
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“…Aligned with this trend, the SDN suggests a centralised controller to enable control decisions to be taken based on a wider view of network status and parameters [14]. In other words, the SDN and the CDSA have the same physical realisation: moving towards a centralised CP [15]. SDN and CDSA are closely related concepts in the sense.…”
Section: B Cdsa and Software-defined Networkingmentioning
confidence: 99%
See 1 more Smart Citation
“…Aligned with this trend, the SDN suggests a centralised controller to enable control decisions to be taken based on a wider view of network status and parameters [14]. In other words, the SDN and the CDSA have the same physical realisation: moving towards a centralised CP [15]. SDN and CDSA are closely related concepts in the sense.…”
Section: B Cdsa and Software-defined Networkingmentioning
confidence: 99%
“…The authors of [15] integrate the SDN concept with the BCG 2 architecture, and they argue that the CDSA requires redesigning current network hardware components. Thus the SDN is seen as an enabling technology that could allow a feasible and cost-efficient CDSA implementation.…”
Section: B Cdsa and Software-defined Networkingmentioning
confidence: 99%
“…Its main task is resource management on the air interface. For example, signaling controller can regulate data BSs activation/deactivation through interface X3 [15]. In night time, about 85 % traffic reduction is predicted compared with peak-load time [16].…”
Section: Virtualized Air Interface Modelmentioning
confidence: 99%
“…Algorithm 2 Power allocation algorithm 1: Initialization: 2: Set maximum tolerance ε 3: Initialize optimal EE q 1 = 0 and iteration index l = 1 4: repeat 5: For a given q l , the InP solves the problem in (15) and obtain the power allocation P l 6:…”
Section: Problem Transformationmentioning
confidence: 99%
“…In fact, recent studies have begun to investigate the integration of these perspectives [5], [10]. However, the problems of how to combine the three perspectives into a converged architecture and how to realize the architecture in practice remain unclear.…”
mentioning
confidence: 99%