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|Title:||Wireless Content Caching for Small Cell and D2D Networks|
|Keywords:||Science & Technology;Technology;Engineering, Electrical & Electronic;Telecommunications;Engineering;Proactive caching;5G;wireless backhaul;small cells;energy-efficiency;Device-to-Device;TRANSMISSION;Science & Technology;Technology;Engineering, Electrical & Electronic;Telecommunications;Engineering;Proactive caching;5G;wireless backhaul;small cells;energy-efficiency;Device-to-Device;TRANSMISSION;Networking & Telecommunications; Electrical And Electronic Engineering;1005 Communications Technologies;0805 Distributed Computing|
|Description:||The fifth generation wireless networks must provide fast and reliable connectivity while coping with the ongoing traffic growth. It is of paramount importance that the required resources, such as energy and bandwidth, do not scale with traffic. While the aggregate network traffic is growing at an unprecedented rate, users tend to request the same popular contents at different time instants. Therefore, caching the most popular contents at the network edge is a promising solution to reduce the traffic and the energy consumption over the backhaul links. In this paper, two scenarios are considered, where caching is performed either at a small base station, or directly at the user terminals, which communicate using Device-to-Device (D2D) communications. In both scenarios, joint design of the transmission and caching policies is studied when the user demands are known in advance. This joint design offers two different caching gains, namely, the pre-downloading and local caching gains. It is shown that the finite cache capacity limits the attainable gains, and creates an inherent tradeoff between the two types of gains. In this context, a continuous time optimization problem is formulated to determine the optimal transmission and caching policies that minimize a generic cost function, such as energy, bandwidth, or throughput. The jointly optimal solution is obtained by demonstrating that caching files at a constant rate is optimal, which allows reformulation of the problem as a finite-dimensional convex program. The numerical results show that the proposed joint transmission and caching policy dramatically reduces the total cost, which is particularised to the total energy consumption at the Macro Base Station (MBS), as well as to the total economical cost for the service provider, when users demand economical incentives for delivering content to other users over the D2D links.|
|Type Of Material:||Other|
|Appears in Collections:||Electrical and Electronic Engineering|
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