Federated deep reinforcement learning for Internet of Things with decentralized cooperative edge caching

X Wang, C Wang, X Li, VCM Leung… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Edge caching is an emerging technology for addressing massive content access in mobile
networks to support rapidly growing Internet-of-Things (IoT) services and applications …

An edge computing empowered radio access network with UAV-mounted FSO fronthaul and backhaul: Key challenges and approaches

Y Dong, MZ Hassan, J Cheng… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
One promising approach to address the supply-demand mismatch between the terrestrial
infrastructure and temporary and/or unexpected traffic demands is to leverage the UAV …

Edge cognitive computing based smart healthcare system

M Chen, W Li, Y Hao, Y Qian, I Humar - Future Generation Computer …, 2018 - Elsevier
With the rapid development of medical and computer technologies, the healthcare system
has seen a surge of interest from both the academia and industry. However, most healthcare …

Federated learning-based computation offloading optimization in edge computing-supported internet of things

Y Han, D Li, H Qi, J Ren, X Wang - Proceedings of the ACM Turing …, 2019 - dl.acm.org
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …

Collaborative data caching and computation offloading for multi-service mobile edge computing

H Feng, S Guo, L Yang, Y Yang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) can use wireless access network (RAN) to provide the
services required by user's information technology (IT) and cloud computing functions …

Edge-CoCaCo: Toward joint optimization of computation, caching, and communication on edge cloud

M Chen, Y Hao, L Hu, MS Hossain… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
With the development of recent innovative applications (eg, augmented reality, natural
language processing, and various cognitive applications), more and more computation …

A survey on mobile data offloading technologies

H Zhou, H Wang, X Li, VCM Leung - IEEE access, 2018 - ieeexplore.ieee.org
Recently, due to the increasing popularity of enjoying various multimedia services on mobile
devices (eg, smartphones, ipads, and electronic tablets), the generated mobile data traffic …

Smart-Edge-CoCaCo: AI-enabled smart edge with joint computation, caching, and communication in heterogeneous IoT

Y Hao, Y Miao, L Hu, MS Hossain, G Muhammad… - IEEE …, 2019 - ieeexplore.ieee.org
The development of mobile communication technology, hardware, distributed computing,
and artificial intelligence (AI) technology has promoted the application of edge computing in …

Caching placement and resource allocation for cache-enabling UAV NOMA networks

T Zhang, Z Wang, Y Liu, W Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates the cache-enabling unmanned aerial vehicle (UAV) cellular
networks with massive access capability supported by non-orthogonal multiple access …

Hierarchical edge caching in device-to-device aided mobile networks: Modeling, optimization, and design

X Li, X Wang, PJ Wan, Z Han… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
The explosive growth of content requests from mobile users is stretching the capability of
current mobile networking technologies to satisfy users' demands with acceptable quality of …