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.
| Original language | English |
|---|---|
| Article number | 190 |
| Journal | Eurasip Journal on Wireless Communications and Networking |
| Volume | 2018 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2018 Dec 1 |
Bibliographical note
Funding Information:This research was supported in part by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742) and in part by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00195, Development of Core Technologies for Programmable Switch in Multi-Service Networks).
Publisher Copyright:
© 2018, The Author(s).
Keywords
- Content caching
- Edge caching
- Energy
- Green networks
- Markov decision process (MDP)
- Sleep scheduling
ASJC Scopus subject areas
- Signal Processing
- Computer Science Applications
- Computer Networks and Communications
