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 …

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 …

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 …

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 …

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 …

Context-aware proactive content caching with service differentiation in wireless networks

S Müller, O Atan, M Van Der Schaar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Content caching in small base stations or wireless infostations is considered to be a suitable
approach to improve the efficiency in wireless content delivery. Placing the optimal content …

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 …

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 …

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 …

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 …