Video caching, analytics, and delivery at the wireless edge: A survey and future directions

B Jedari, G Premsankar, G Illahi… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet
connectivity to meet the requirements of different applications, ranging from virtual reality to …

A survey on mobile edge networks: Convergence of computing, caching and communications

S Wang, X Zhang, Y Zhang, L Wang, J Yang… - Ieee …, 2017 - ieeexplore.ieee.org
As the explosive growth of smart devices and the advent of many new applications, traffic
volume has been growing exponentially. The traditional centralized network architecture …

A crowdsourcing framework for on-device federated learning

SR Pandey, NH Tran, M Bennis, YK Tun… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Federated learning (FL) rests on the notion of training a global model in a decentralized
manner. Under this setting, mobile devices perform computations on their local data before …

Mobility-aware edge caching and computing in vehicle networks: A deep reinforcement learning

RQ Hu - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
This paper studies the joint communication, caching and computing design problem for
achieving the operational excellence and the cost efficiency of the vehicular networks …

Joint optimization of caching, computing, and radio resources for fog-enabled IoT using natural actor–critic deep reinforcement learning

Y Wei, FR Yu, M Song, Z Han - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The cloud-based Internet of Things (IoT) develops rapidly but suffer from large latency and
backhaul bandwidth requirement, the technology of fog computing and caching has …

Joint resource and trajectory optimization for security in UAV-assisted MEC systems

Y Xu, T Zhang, D Yang, Y Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been widely applied in internet-of-things (IoT)
scenarios while the security for UAV communications remains a challenging problem due to …

LVBS: Lightweight vehicular blockchain for secure data sharing in disaster rescue

Z Su, Y Wang, Q Xu, N Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In disaster areas, a large amount of data (eg, rescue commands, road damage, and rescue
experience) should be delivered among ground rescuing vehicles for safe driving and …

Green and mobility-aware caching in 5G networks

M Chen, Y Hao, L Hu, K Huang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the drastic increase of mobile devices, there are more and more mobile traffic and
repeated requests for content. In 5G networks, small cell base stations (SBSs) caching and …

Resource allocation for information-centric virtualized heterogeneous networks with in-network caching and mobile edge computing

Y Zhou, FR Yu, J Chen, Y Kuo - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In order to better accommodate the dramatically increasing demand for data caching and
computing services, storage and computation capabilities should be endowed to some of …

Game theory and reinforcement learning based secure edge caching in mobile social networks

Q Xu, Z Su, R Lu - IEEE Transactions on Information Forensics …, 2020 - ieeexplore.ieee.org
Edge caching has become one of promising technologies in mobile social networks (MSNs)
to proximally provide popular contents for mobile users. However, since caching contents …