TY - GEN
T1 - Distributed Edge Caching in Ultra-Dense Fog Radio Access Networks
T2 - 88th IEEE Vehicular Technology Conference, VTC-Fall 2018
AU - Hu, Yabai
AU - Jiang, Yanxiang
AU - Bennis, Mehdi
AU - Zheng, Fu Chun
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
KW - Fog radio access networks
KW - distributed edge caching
KW - fronthaul traffic load
KW - mean field game
KW - request service delay
UR - https://www.scopus.com/pages/publications/85064899718
U2 - 10.1109/VTCFall.2018.8690593
DO - 10.1109/VTCFall.2018.8690593
M3 - 会议稿件
AN - SCOPUS:85064899718
T3 - IEEE Vehicular Technology Conference
BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 August 2018 through 30 August 2018
ER -