2016
DOI: 10.1109/jsac.2016.2549438
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Traffic-Aware Cloud RAN: A Key for Green 5G Networks

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Cited by 67 publications
(45 citation statements)
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“…In this special issue, paper [159] investigates the role that cellular traffic dynamics play in efficient network energy management, and designs a framework for traffic-aware energy optimization. In particular, using a learning approach, it is shown that the C-RAN can be made aware of the near-future traffic, so that inactive or low-load BSs can be switched off, thus reducing the overall energy consumption.…”
Section: Energy Harvesting and Transfermentioning
confidence: 99%
“…In this special issue, paper [159] investigates the role that cellular traffic dynamics play in efficient network energy management, and designs a framework for traffic-aware energy optimization. In particular, using a learning approach, it is shown that the C-RAN can be made aware of the near-future traffic, so that inactive or low-load BSs can be switched off, thus reducing the overall energy consumption.…”
Section: Energy Harvesting and Transfermentioning
confidence: 99%
“…Energy consumption is of critical interest in future 5G 121 systems [23], [24], especially in ultradense networks. Compared 122 with the power-thirsty always-on architecture, where the energy 123 consumption grows with the network's densification, the energy 124 consumption of the ultradense network relying on the dynamic 125 on-off architecture mainly depends on the density of MUs in 126 the network [2].…”
mentioning
confidence: 99%
“…Energy consumption is of critical interest in future 5G 121 systems [23], [24], especially in ultradense networks. Compared .…”
mentioning
confidence: 99%
“…To this end, a lot of effort is being devoted in order to provide end users with ubiquitous Internet connectivity through the deployment of nextgeneration networks [3,4]. However, current network coverage is not available everywhere, anytime yet and mobile data plans, especially in scenarios of roaming between carriers, are expensive in most countries.…”
Section: Introductionmentioning
confidence: 99%