Dynamic content update for wireless edge caching via deep reinforcement learning

P Wu, J Li, L Shi, M Ding, K Cai… - IEEE Communications …, 2019 - ieeexplore.ieee.org
This letter studies a basic wireless caching network, where a source server is connected to a
cache-enabled base station (BS) that serves multiple requesting users. A critical problem is …

Cooperative cache update using multi-agent recurrent deep reinforcement learning for mobile edge networks

MK Somesula, RR Rout, DVLN Somayajulu - Computer Networks, 2022 - Elsevier
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 …

Reinforcement learning-based optimal computing and caching in mobile edge network

Y Qian, R Wang, J Wu, B Tan… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Joint pushing and caching are commonly considered an effective way to adapt to tidal
effects in networks. However, the problem of how to precisely predict users' future requests …

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 for reactive content caching with predicted content popularity in three-tier wireless networks

Y Liu, J Jia, J Cai, T Huang - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
With the explosive growth of micro-video applications, the mobile traffic generated by
retrieving a few user-generated micro-videos has brought a massive burden to backhaul …

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 …

OA-cache: Oracle approximation-based cache replacement at the network edge

S Qiu, Q Fan, X Li, X Zhang, G Min… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the explosive increase in mobile data traffic and stringent quality-of-experience
requirements of users, mobile edge caching is a promising paradigm to reduce delivery …

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 …

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 …

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 …