Price-based Video Caching via Stackelberg Game in F-RAN

6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence

Ge, Hui^1 ; Miao, Gumin^1

Southeast University, Nanjing, China^1

关键词: Access points;    Cloud servers;    Numerical results;    Optimization problems;    Placement strategy;    Profit function;    Stackelberg Games;    Video transmissions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/234/1/012115/pdf
DOI  :  10.1088/1755-1315/234/1/012115

来源: IOP

【 摘 要 】

In this paper, the video caching problem in fog computing based radio access networks (F-RAN) to reduce video transmission latency is investigated. According to the geographical factors, fog access points (F-APs) are divided into multiple F-AP clusters. To find the optimal video caching strategy, we propose a Stackelberg game by regarding videos as a specific type of resources. In the proposed game, the cloud server acting as the leader leases its videos, while F-AP clusters acting as followers can efficiently reduce video transmission latency after placing these videos to their F-APs. We establish the profit functions for both the cloud server and F-AP clusters. Then, the Stackleberg equilibrium is investigated by solving the optimization problems. Numerical results are provided for verifying the effectiveness of the proposed model by showing the video pricing and placement strategies.