A survey of deep learning for data caching in edge network
Y Wang, V Friderikos - Informatics, 2020 - mdpi.com
The concept of edge caching provision in emerging 5G and beyond mobile networks is a
promising method to deal both with the traffic congestion problem in the core network, as …
promising method to deal both with the traffic congestion problem in the core network, as …
Cooperative cache update using multi-agent recurrent deep reinforcement learning for mobile edge networks
Caching the most likely to be requested content at the base stations in a cooperative manner
can facilitate direct content delivery without fetching content from the remote content server …
can facilitate direct content delivery without fetching content from the remote content server …
A classification of the enabling techniques for low latency and reliable communications in 5G and beyond: AI-enabled edge caching
LC Mutalemwa, S Shin - IEEE Access, 2020 - ieeexplore.ieee.org
Various advanced and mission-critical applications are enabled by the emerging
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …
Multi-agent reinforcement learning for cooperative coded caching via homotopy optimization
Introducing cooperative coded caching into small cell networks is a promising approach to
reducing traffic loads. By encoding content via maximum distance separable (MDS) codes …
reducing traffic loads. By encoding content via maximum distance separable (MDS) codes …
Spectrum Sharing in Cache-Empowered Wireless Networks: Reservation Based Versus Auction Based Approaches
Spectrum sharing has attracted much recent attention from both industry and academia due
to its significant potential of achieving high radio resource efficiency and scaling the service …
to its significant potential of achieving high radio resource efficiency and scaling the service …
An efficient content popularity prediction of privacy preserving based on federated learning and wasserstein gan
K Wang, N Deng, X Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
To relieve the high backhaul load and long transmission time caused by the huge mobile
data traffic, caching devices are deployed at the edge of mobile networks. The key to …
data traffic, caching devices are deployed at the edge of mobile networks. The key to …
[HTML][HTML] Multi-content time-series popularity prediction with multiple-model transformers in MEC networks
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved as an
efficient solution to meet the significant growth of global mobile data traffic by boosting the …
efficient solution to meet the significant growth of global mobile data traffic by boosting the …
Multi-agent reinforcement learning based file caching strategy in mobile edge computing
Mobile edge computing (MEC) reduces data service latency by pushing data to the network
edge. However, due to the dynamic and diverse requests of mobile users, the problem of …
edge. However, due to the dynamic and diverse requests of mobile users, the problem of …
UAV assisted cooperative caching on network edge using multi-agent actor-critic reinforcement learning
In recent times, caching at edge nodes is a well-known technique to overcome the limitation
of strict latency, which simultaneously improves users' Quality of Experience (QoE) …
of strict latency, which simultaneously improves users' Quality of Experience (QoE) …
Proactive content caching based on actor–critic reinforcement learning for mobile edge networks
Mobile edge caching/computing (MEC) has emerged as a promising approach for
addressing the drastic increasing mobile data traffic by bringing high caching and computing …
addressing the drastic increasing mobile data traffic by bringing high caching and computing …