[HTML][HTML] Machine learning for physical layer in 5G and beyond wireless networks: A survey

J Tanveer, A Haider, R Ali, A Kim - Electronics, 2021 - mdpi.com
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …

AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Efficient caching in vehicular edge computing based on edge-cloud collaboration

F Zeng, K Zhang, L Wu, J Wu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In vehicular edge computing (VEC), the execution of offloading task needs not only the task
data uploaded by the requesting vehicle, but also the additional data to support the task to …

Federation-based Deep Reinforcement Learning Cooperative Cache in Vehicular Edge Networks

H Wu, J Jin, H Ma, L Xing - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the emergence of a large number of computing resource-intensive applications and a
variety of content delivery services, data in Internet of Vehicles (IoV) is exploding. In order to …

A DRL-Driven Intelligent Optimization Strategy for Resource Allocation in Cloud-Edge-End Cooperation Environments

C Fang, T Zhang, J Huang, H Xu, Z Hu, Y Yang… - Symmetry, 2022 - mdpi.com
Complex dynamic services and heterogeneous network environments make the
asymmetrical control a curial issue to handle on the Internet. With the advent of the Internet …

Intelligent Cooperative Caching at Mobile Edge based on Offline Deep Reinforcement Learning

Z Wang, J Hu, G Min, Z Zhao - ACM Transactions on Sensor Networks, 2023 - dl.acm.org
Cooperative edge caching enables edge servers to jointly utilize their cache to store popular
contents, thus drastically reducing the latency of content acquisition. One fundamental …

Social-Aware Decentralized Cooperative Caching for Internet of Vehicles

H Wu, Y Fan, J Jin, H Ma, L Xing - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
As the industry related to intelligent vehicles becomes increasingly mature, emerging in-
vehicle applications and services are mushrooming. They have strict requirements on …

[HTML][HTML] CACHE-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenarios

I Zyrianoff, L Gigli, F Montori, L Sciullo, C Kamienski… - Ad Hoc Networks, 2024 - Elsevier
Abstract The Cloud-to-Things (C2T) continuum combines the proximity of edge infrastructure
to the devices with cloud resources to optimize data processing and response time in the …

A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration

X Zhang, Z Hu, Y Liang, H Xiao, A Xu, M Zheng… - Journal of Grid …, 2024 - Springer
In the era of ubiquitous network devices, an exponential increase in content requests from
user equipment (UE) calls for optimized caching strategies within a cloud-edge integration …

DRL-Based Resource Allocation and Trajectory Planning for NOMA-Enabled Multi-UAV Collaborative Caching 6 G Network

P Qin, Y Fu, J Zhang, S Geng, J Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Aerial platform-based network has been invoked as an appealing assistance for terrestrial
cellular networks. Caching at edge UAVs is an effective emerging solution for relieving the …