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A transfer learning approach for cache-enabled wireless networks,” arXiv preprint arXiv:1503.05448 (2015)

by E Baştuğ, M Bennis, M Debbah
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1Proactive Caching in 5G Small Cell Networks

by Mehdi Bennis, Mérouane Debbah , 2015
"... Massive deployment of small-cell base stations (SBSs) is going to play a key role for capacity and coverage enhancements in 5G networks. However, the backhaul for these networks remains one of the important issue to solve. Ideally, the capacity of backhaul has to be in the same order of wireless lin ..."
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Massive deployment of small-cell base stations (SBSs) is going to play a key role for capacity and coverage enhancements in 5G networks. However, the backhaul for these networks remains one of the important issue to solve. Ideally, the capacity of backhaul has to be in the same order of wireless links in order to avoid bottlenecks in the delivery and sustain huge traffic generated by mobile users, especially due to video streaming and content sharing in social networks. In reality, the deployment of such high-speed backhauls is not straightforward due to its costly nature. Thus, one promising way of tackling this backhaul bottleneck and satisfying users ’ demand is to cache the strategic contents at the edge of the network, namely at the SBSs and user terminals (UTs). So far, most of the existing solutions are based on the reactive networking paradigm in which users ’ content requests are served immediately upon their arrival or causing outages otherwise. In this chapter, we first provide an overview for recent research in small cell networks (SCNs), and then we explore the novel paradigm of proactive caching in SCNs that leverages the latest developments in storage, context-awareness, and social networking. With this approach, we show that important gains can be obtained, with backhaul offloadings and higher ratios of satisfied users reaching up to 22 % and 26%, respectively.
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...rvey). Inspired from this, a preliminary study on transfer learning for caching in SCNs is conducted in [37]. Even though it has naturally its own challenges (i.e., negative transfer), it is shown in =-=[38]-=- that the content popularity estimation via CF can be improved by this approach. Further investigations are needed to combine this approach with the proactive caching in SCNs. Additionally, in the con...

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