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Distributed edge caching in ultra-dense fog radio access networks : a mean field approach |
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| Author: | Hu, Yabai1,2,3; Jiang, Yanxiang1,2,3; Bennis, Mehdi4; |
| Organizations: |
1National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China 2State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China 3Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
4Centre for Wireless Communications, University of Oulu, Oulu 90014, Finland
5School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202002195841 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2018
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| Publish Date: | 2020-02-19 |
| Description: |
AbstractIn this paper, the edge caching problem in ultra-dense fog radio access networks (F-RAN) is investigated. Taking into account time-variant user requests and ultra-dense deployment of fog access points (F-APs), we propose a dynamic distributed edge caching scheme to jointly minimize the request service delay and fronthaul traffic load. Considering the interactive relationship among F-APs, we model the caching optimization problem as a stochastic differential game (SDG) which captures the temporal dynamics of F-AP states and incorporates user requests status. The SDG is further approximated as a mean field game (MFG) by exploiting the ultra-dense property of F-RAN. In the MFG, each F-AP can optimize its caching policy independently through iteratively solving the corresponding partial differential equations without any information exchange with other F-APs. The simulation results show that the proposed edge caching scheme outperforms the baseline schemes under both static and time-variant user requests. see all
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| Series: |
IEEE Vehicular Technology Conference |
| ISSN: | 1090-3038 |
| ISSN-L: | 1090-3038 |
| ISBN: | 978-1-5386-6358-5 |
| ISBN Print: | 978-1-5386-6359-2 |
| Pages: | 1 - 6 |
| DOI: | 10.1109/VTCFall.2018.8690593 |
| OADOI: | https://oadoi.org/10.1109/VTCFall.2018.8690593 |
| Host publication: |
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chigaco, IL, USA, 27-30 August 2018 |
| Conference: |
IEEE Vehicular Technology Conference |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
This work was supported in part by the Research Fund of the State Key Laboratory of Integrated Services Networks (Xidian University) under grant ISN19-10, the Research Fund of the Key Laboratory of Wireless Sensor Network & Communication (Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences) under grant 2017002, the Hong Kong, Macao and Taiwan Science & Technology Cooperation Program of China under grant 2014DFT10290, the Ericsson and SEU Cooperation Project under grant 8504000335, the National Basic Research Program of China (973 Program) under grant 2012CB316004, and the 6 U.K. Engineering and Physical Sciences Research Council under Grant EP/K040685/2. |
| Copyright information: |
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