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      GreenDelivery: Proactive Content Caching and Push with Energy-Harvesting-based Small Cells

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          Abstract

          The explosive growth of mobile multimedia traffic calls for scalable wireless access with high quality of service and low energy cost. Motivated by the emerging energy harvesting communications, and the trend of caching multimedia contents at the access edge and user terminals, we propose a paradigm-shift framework, namely GreenDelivery, enabling efficient content delivery with energy harvesting based small cells. To resolve the two-dimensional randomness of energy harvesting and content request arrivals, proactive caching and push are jointly optimized, with respect to the content popularity distribution and battery states. We thus develop a novel way of understanding the interplay between content and energy over time and space. Case studies are provided to show the substantial reduction of macro BS activities, and thus the related energy consumption from the power grid is reduced. Research issues of the proposed GreenDelivery framework are also discussed.

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          Most cited references11

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          Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff

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            FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers

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              Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks

              This article explores one of the key enablers of beyond \(4\)G wireless networks leveraging small cell network deployments, namely proactive caching. Endowed with predictive capabilities and harnessing recent developments in storage, context-awareness and social networks, peak traffic demands can be substantially reduced by proactively serving predictable user demands, via caching at base stations and users' devices. In order to show the effectiveness of proactive caching, we examine two case studies which exploit the spatial and social structure of the network, where proactive caching plays a crucial role. Firstly, in order to alleviate backhaul congestion, we propose a mechanism whereby files are proactively cached during off-peak demands based on file popularity and correlations among users and files patterns. Secondly, leveraging social networks and device-to-device (D2D) communications, we propose a procedure that exploits the social structure of the network by predicting the set of influential users to (proactively) cache strategic contents and disseminate them to their social ties via D2D communications. Exploiting this proactive caching paradigm, numerical results show that important gains can be obtained for each case study, with backhaul savings and a higher ratio of satisfied users of up to \(22\%\) and \(26\%\), respectively. Higher gains can be further obtained by increasing the storage capability at the network edge.
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                Author and article information

                Journal
                2015-03-13
                2015-03-22
                Article
                10.1109/MCOM.2015.7081087
                1503.04254
                30f1e2f2-3f96-47be-adb0-4066f3dbc063

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                15 pages, 5 figures, accepted by IEEE Communications Magazine
                cs.IT math.IT

                Numerical methods,Information systems & theory
                Numerical methods, Information systems & theory

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