Deep Reinforcement Learning Empowered Content Caching in Mobile Social Networks
TimeWednesday, July 13th6pm - 7pm PDT
LocationLevel 2 Lobby
DescriptionIn the era of the Internet-of-Everything, networking resource is not an unconstraint objective along with the remarkably increasing network users, even though bandwidth is expected to be much broadened in 6G. Deploying a content caching-based solution is an alternative solution to lower down traffic workloads between base stations and remote servers. The challenge is to formulate an efficient caching strategy that is adoptable in the dynamic environment. In this paper, our approach enhances real-time services of the Base Station Social Network (BSSN), in which base stations’ strategies’ inter-impacts are studied. Our work has been evidenced by the real-world data experiments.