Federated deep reinforcement learning for recommendation-enabled edge caching in mobile edge-cloud computing networks
To support rapidly increasing services and applications from users, multi-tier computing is
emerged as a promising system-level computing architecture by distributing …
emerged as a promising system-level computing architecture by distributing …
Edge-cloud collaboration enabled video service enhancement: A hybrid human-artificial intelligence scheme
In this paper, a video service enhancement strategy is investigated under an edge-cloud
collaboration framework, where video caching and delivery decisions are made at the cloud …
collaboration framework, where video caching and delivery decisions are made at the cloud …
Recommendation-driven multi-cell cooperative caching: A multi-agent reinforcement learning approach
In 5G small cell networks, edge caching is a key technique to alleviate the backhaul burden
by caching user desired contents at network edges such as small base stations (SBSs) …
by caching user desired contents at network edges such as small base stations (SBSs) …
Caching policies for delay minimization in small cell networks with coordinated multi-point joint transmissions
GI Ricardo, A Tuholukova, G Neglia… - … /ACM Transactions on …, 2021 - ieeexplore.ieee.org
In 5G and beyond network architectures, operators and content providers base their content
distribution strategies on Heterogeneous Networks, where macro and small cells are …
distribution strategies on Heterogeneous Networks, where macro and small cells are …
Network-aware recommendations in the wild: Methodology, realistic evaluations, experiments
Joint caching and recommendation has been recently proposed as a new paradigm for
increasing the efficiency of mobile edge caching. Early findings demonstrate significant …
increasing the efficiency of mobile edge caching. Early findings demonstrate significant …
A Scalable Re-Ranking Optimization Approach for Real-Time Network-Friendly Recommendations
J Hou, J Lin, S Wang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Network-friendly recommendation (NFR) has emerged as a promising method to enhance
network performance. However, current NFR methods incur significant computational …
network performance. However, current NFR methods incur significant computational …
Latency Minimization for RSMA-Assisted Wireless Caching Networks with Dynamic Recommendation
Y Hua, Y Fu, Q Zhu - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
In this work, our aim is to minimize the average latency of a dynamic recommendation-aware
wireless caching system with the utilization of rate splitting multiple access (RSMA). To this …
wireless caching system with the utilization of rate splitting multiple access (RSMA). To this …
Optimal content caching and recommendation with age of information
Content caching at the network edge is an effective way of mitigating backhaul load and
improving user experience. Caching efficiency can be enhanced by content …
improving user experience. Caching efficiency can be enhanced by content …
On cost minimization for cache-enabled D2D networks with recommendation
Y Hua, Y Fu, Q Zhu - China Communications, 2022 - ieeexplore.ieee.org
To accommodate the tremendous increase of mobile data traffic, cache-enabled device-to-
device (D2D) communication has been taken as a promising technique to release the heavy …
device (D2D) communication has been taken as a promising technique to release the heavy …
Caching With Personalized and Incumbent-Aware Recommendation: Modeling and Optimization
Caching popular contents at cell edge has been recognized as a promising way to facilitate
rapid content delivery and alleviate backhaul burden. The content popularity is greatly …
rapid content delivery and alleviate backhaul burden. The content popularity is greatly …