Deep multi-agent reinforcement learning based cooperative edge caching in wireless networks

C Zhong, MC Gursoy… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The growing demand on high-quality and low-latency multimedia services has led to much
interest in edge caching techniques. Motivated by this, we in this paper consider edge …

Deep reinforcement learning for cooperative edge caching in future mobile networks

D Li, Y Han, C Wang, GT Shi, X Wang… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
To satisfy rapidly increasing multimedia service requests from mobile users, content caching
at the network edges (eg, base stations) has been regarded as a promising technique in …

A deep reinforcement learning-based framework for content caching

C Zhong, MC Gursoy… - 2018 52nd Annual …, 2018 - ieeexplore.ieee.org
Content caching at the edge nodes is a promising technique to reduce the data traffic in next-
generation wireless networks. Inspired by the success of Deep Reinforcement Learning …

Deep reinforcement learning-based edge caching in wireless networks

C Zhong, MC Gursoy… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the purpose to offload data traffic in wireless networks, content caching techniques
have recently been studied intensively. Using these techniques and caching a portion of the …

Partially collaborative edge caching based on federated deep reinforcement learning

M Lei, Q Li, X Ge… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
In this paper, edge caching is investigated in fog radio access networks subject to dynamic
content popularity. In order to improve the long-term cache-hit-ratio (CHR), a federated deep …

UAV assisted cooperative caching on network edge using multi-agent actor-critic reinforcement learning

S Araf, AS Saha, SH Kazi, NH Tran… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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) …

Cooperative edge caching based on temporal convolutional networks

X Zhang, Z Qi, G Min, W Miao, Q Fan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid growth of networked multimedia services in the Internet, wireless network
traffic has increased dramatically. However, the current mainstream content caching …

Cooperative edge caching via federated deep reinforcement learning in fog-rans

M Zhang, Y Jiang, FC Zheng… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
In this paper, cooperative edge caching problem is investigated in fog radio access networks
(F-RANs). By considering the non-deterministic polynomial hard (NP-hard) property of this …

Deep learning for wireless coded caching with unknown and time-variant content popularity

Z Zhang, M Tao - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
Coded caching is effective in leveraging the accumulated storage size in wireless networks
by distributing different coded segments of each file in multiple cache nodes. This paper …

Wireless edge caching based on content similarity in dynamic environments

X Wei, J Liu, Y Wang, C Tang, Y Hu - Journal of Systems Architecture, 2021 - Elsevier
Edge caching could greatly relieve the burden of the backbone network and reduce the
content request latency experienced by end-user devices. This makes edge caching a …