Distributed Edge Caching in Ultra-dense Fog Radio Access Networks

In 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.

Authors:
Hu Yabai, Jiang Yanxiang, Bennis Mehdi, Zheng Fu-Chun

Publication type:
A4 Article in conference proceedings

Place of publication:
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chigaco, IL, USA, 27-30 August 2018

Keywords:
distributed edge caching, Fog radio access networks, fronthaul traffic load, mean field game, request service delay

Published:

Full citation:
Y. Hu, Y. Jiang, M. Bennis and F. Zheng, “Distributed Edge Caching in Ultra-Dense Fog Radio Access Networks: A Mean Field Approach,” 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, 2018, pp. 1-6. doi: 10.1109/VTCFall.2018.8690593

DOI:
https://doi.org/10.1109/VTCFall.2018.8690593

Read the publication here:
http://urn.fi/urn:nbn:fi-fe202002195841