Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution

By Negin Golrezaei, Andreas F. Molisch, A. Dimakis, Giuseppe Caire. IEEE Communications Magazine, 2012

700 citations recorded by the source corpus.

We present a new architecture to handle the ongoing explosive increase in the demand for video content in wireless networks. It is based on distributed caching of the content in femtobasestations with small or non-existing backhaul capacity but with considerable storage space, called helper nodes. We also consider using the wireless terminals themselves as caching helpers, which can distribute video through device-todevice communications. This approach allows an improvement in the video throughput without deployment of any additional infrastructure. The new architecture can improve video throughput by one to two orders-of-magnitude.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/e52b3a7daeb75eab6e78075874e3a3a22cb82e54

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In Computer Networks and Communications

Citations in the corpus

FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers (2013, background): “As summarized in [16], the main idea of this architecture, nicknamed Fem-toCaching , consists of replacing backhaul capacity with storage capacity at the small cell access points.”
FemtoCaching: Wireless video content delivery through distributed caching helpers (2011, positive): “ have developed in the framework of a wide universityindustry collaborative project [8], [9] and articulated in a number of papers covering various aspects of our proposal [10]–[15]. As summarized in [16], the main idea of this architecture, nicknamed FemtoCaching, consists of replacing backhaul cap”
Fundamental Limits of Caching in Wireless D2D Networks (2014, methodology): “Users u ∈ U make arbitrary requests f u ∈ F = { 1 , . . . , m , from a ﬁxed ﬁle library of size m .”
Analysis on Cache-Enabled Wireless Heterogeneous Networks (2015, background): “Various innovative throughputincreasing methods have been investigated to tackle the evergrowing wireless data challenge, such as the heterogeneous network (HetNet) [2], the push-based converged network [3], and the cache-enabled content-centric network [4], [5].”
Five disruptive technology directions for 5G (2013, neutral): “Caching might finally make sense now in data-centric systems [4]. this assumption, and given that a substantial share of the data that circulates wirelessly corresponds to the most popular audio/video/ social content that is in vogue at a given time, it clearly inefficient to transmit such content…”
Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions (2019, background): “To alleviate the backhaul link congestion and increase connectivity, caching the most popular contents at the network edge has been proposed [128].”
Contract-Based Small-Cell Caching for Data Disseminations in Ultra-Dense Cellular Networks (2019, background): “We note that in [3], [32] an MU can associate with multiple SBSs for searching its desired file.”
Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems (2019, background): “To address this issue, the multicast transmission based on content reuse [15] (e.”
Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN (2015, background): “Caching, on the other hand, brings contents closer to users by pre-fetching the contents during the off-peak time and hence can greatly reduce the network congestion and improve the user-perceived experience [5], [8], [9].”