Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey

J Shuja, K Bilal, W Alasmary, H Sinky… - Journal of Network and …, 2021 - Elsevier
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …

Adaptive edge association for wireless digital twin networks in 6G

Y Lu, S Maharjan, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …

Artificial intelligence for wireless caching: Schemes, performance, and challenges

M Sheraz, M Ahmed, X Hou, Y Li, D **… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

Deep reinforcement learning for adaptive caching in hierarchical content delivery networks

A Sadeghi, G Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …

AI-driven UAV-NOMA-MEC in next generation wireless networks

Z Yang, M Chen, X Liu, Y Liu, Y Chen… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Driven by the unprecedented high throughput and low latency requirements anticipated for
next generation wireless networks, this article introduces an artificial intelligence (AI) …

A contract-theory-based incentive mechanism for UAV-enabled VR-based services in 5G and beyond

TN Dang, A Manzoor, YK Tun… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The proliferation of novel infotainment services, such as virtual reality (VR)-based services,
has fundamentally changed the existing mobile networks. These bandwidth-hungry services …

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 …

Cocktail edge caching: Ride dynamic trends of content popularity with ensemble learning

T Zong, C Li, Y Lei, G Li, H Cao… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Edge caching will play a critical role in facilitating the emerging content-rich applications.
However, it faces many new challenges, in particular, the highly dynamic content popularity …

Multi-agent reinforcement learning for cooperative edge caching in internet of vehicles

K Jiang, H Zhou, D Zeng, J Wu - … on Mobile Ad Hoc and Sensor …, 2020 - ieeexplore.ieee.org
Edge caching has been emerged as a promising solution to alleviate the redundant traffic
and the content access latency in the future Internet of Vehicles (IoVs). Several …

Optimistic no-regret algorithms for discrete caching

N Mhaisen, A Sinha, G Paschos, G Iosifidis - Proceedings of the ACM on …, 2022 - dl.acm.org
We take a systematic look at the problem of storing whole files in a cache with limited
capacity in the context of optimistic learning, where the caching policy has access to a …