Abstract
Proactive content caching in small cells (SCs) (i.e., proactive edge caching) can significantly reduce energy consumption of networks. However, the sleep mode of SCs can make the cached contents in SCs unavailable. Therefore, a joint optimization of edge caching strategy and sleep scheduling should be conducted to maximize the effectiveness of edge caching. In this paper, we propose an energy-efficient proactive edge caching with sleep scheduling (E3CS) where the controller jointly adjusts the caching strategy and the sleep scheduling of SCs by considering the content popularity dynamics. To optimize the performance of E3CS (i.e., minimize the overall energy consumption), we formulate a Markov decision process (MDP) and the joint optimal policy on the caching strategy and sleep scheduling is obtained by a value iteration algorithm. Evaluation results demonstrate that E3CS with the optimal policy outperforms the comparison schemes in terms of the overall energy consumption.
Highlights
Recent report [1] predicts that mobile data traffic will grow at a compound annual growth rate of 47% from 2016 to 2021
Since this is the first work on the joint optimization of the caching strategy and sleep scheduling by considering the content popularity dynamics, we introduce simple comparison schemes to demonstrate the effectiveness of the propose scheme
In this paper, we propose an energy efficient proactive edge caching with sleep scheduling (E3CS) where the controller jointly adjusts the caching strategy and the sleep scheduling of Small cell (SC) with the consideration of the content popularity dynamics
Summary
Recent report [1] predicts that mobile data traffic will grow at a compound annual growth rate of 47% from 2016 to 2021 It shows that most Internet traffic is governed by content retrieval applications such as content sharing and video on demand (VOD) services. In these applications, users retrieve contents from a remote content server, which causes a significant amount of traffic and energy consumption. The energy consumption for content transmission over the backhaul link can be significantly reduced by means of proactive edge caching in SCs. SCs usually use the sleep mode to reduce the maintenance energy needed to be active. The contents should be delivered through the backhaul link from the remote content
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