Edge Intelligence
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data […]
Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
In order to meet the growing demands for multimedia service access and release the pressure of the core network, edge caching and […]
Federated Deep Reinforcement Learning for Internet of Things with Decentralized Cooperative Edge Caching
Edge caching is an emerging technology for addressing massive content access in mobile networks to support rapidly growing Internet-of-Things (IoT) services and […]
Mean-Field Game Theoretic Edge Caching in Ultra-Dense Networks
This paper investigates a cellular edge caching problem under a very large number of small base stations (SBSs) and users. In this […]
Radio Resource Sharing and Edge Caching with Latency Constraint for Local 5G Operator
We develop a novel game-theoretic framework with geometric programming to model and analyze cache-enabled base stations (BSs) with infrastructure sharing for local […]
Resource virtualization with edge caching and latency constraint for local B5G operator
The rapidly increasing demand in indoor smallcell networks has given rise to the concept of local beyond 5G (B5G) operator (OP) for […]
Performance Analysis and Caching Design in Fog Radio Access Networks
In this paper, the edge caching problem in fog radio access networks (F-RAN) is investigated. Considering that fog access points (F-APs) can […]
User Preference Learning-Based Edge Caching for Fog Radio Access Network
Abnstract In this paper, the edge caching problem in fog radio access network (F-RAN) is investigated. By maximizing the overall cache hit […]