A survey on reinforcement learning-aided caching in heterogeneous mobile edge networks

N Nomikos, S Zoupanos, T Charalambous… - IEEE Access, 2022 - ieeexplore.ieee.org
Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …

Towards intelligent adaptive edge caching using deep reinforcement learning

T Wang, Y Deng, J Mao, M Chen, G Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The tremendous expansion of edge data traffic poses great challenges to network
bandwidth and service responsiveness for mobile computing. Edge caching has emerged …

HFDRL: An intelligent dynamic cooperate cashing method based on hierarchical federated deep reinforcement learning in edge-enabled IoT

F Majidi, MR Khayyambashi… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has significantly increased the number of terminals and network
traffic. It is necessary to exploit the full capacity of the network and optimize content transfer …

Deep Reinforcement Learning‐Based Collaborative Video Caching and Transcoding in Clustered and Intelligent Edge B5G Networks

Z Wan, Y Li - Wireless Communications and Mobile Computing, 2020 - Wiley Online Library
In the next‐generation wireless communications system of Beyond 5G networks, video
streaming services have held a surprising proportion of the whole network traffic …

A networked multi-agent reinforcement learning approach for cooperative FemtoCaching assisted wireless heterogeneous networks

Y Yan, B Zhang, C Li - Computer Networks, 2023 - Elsevier
To meet the explosive growth of mobile traffic requirement in the 5th generation (5 G) mobile
system, FemtoCaching at the network edge has been regarded as a promising technique for …

Blockchain‐Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks

Y Li, Z Wan - Security and Communication Networks, 2021 - Wiley Online Library
In recent years, the number of smart devices has exploded, leading to an unprecedented
increase in demand for video live and video‐on‐demand (VoD) services. Also, the privacy of …

Mode selection, caching and physical layer security for fog networks

R Basir, NA Chughtai, M Ali, S Qaisar… - Bulletin of the Polish …, 2022 - journals.pan.pl
Fog networks facilitate ultra-low latency through the use of data availability near the network
edge in fog servers. Existing work in fog networks considers the objective of energy …

Multiagent reinforcement learning for strictly constrained tasks based on Reward Recorder

L Ding, G Yan, J Liu - International Journal of Intelligent …, 2022 - Wiley Online Library
Multiagent reinforcement learning (MARL) has been widely applied in engineering
problems. However, many strictly constrained problems such as distributed optimization in …

[CITAT][C] 异构网络中基于 MADDPG 的协作边缘缓存策略研究

宋端**, **晖, 诸锦涛, 王昊 - 国外电子测量技术, 2024