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 …

Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks

GMS Rahman, T Dang, M Ahmed - Intelligent and Converged …, 2020 - ieeexplore.ieee.org
Fog Radio Access Networks (F-RANs) have been considered a groundbreaking technique
to support the services of Internet of Things by leveraging edge caching and edge …

Delay and energy aware task scheduling mechanism for fog-enabled IoT applications: A reinforcement learning approach

MR Raju, SK Mothku - Computer Networks, 2023 - Elsevier
With the expansion of the internet of things (IoT) devices and their applications, the demand
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …

Reinforcement learning for adaptive resource allocation in fog RAN for IoT with heterogeneous latency requirements

A Nassar, Y Yilmaz - IEEE Access, 2019 - ieeexplore.ieee.org
In light of the quick proliferation of Internet of things (IoT) devices and applications, fog radio
access network (Fog-RAN) has been recently proposed for fifth generation (5G) wireless …

Stackelberg game for service deployment of IoT-enabled applications in 6G-aware fog networks

A Hazra, M Adhikari, T Amgoth… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Fog computing has emerged as a promising paradigm that borrows the user-oriented cloud
services to the proximity of the Internet-of-Things (IoT) users in sixth-generation (6G) …

Improving IoT services using a hybrid fog-cloud offloading

S Aljanabi, A Chalechale - IEEE Access, 2021 - ieeexplore.ieee.org
With the rapid development of the internet of things (IoT) devices and applications, the
necessity to provide these devices with high processing capabilities appears to run the …

Deep-reinforcement-learning-based resource allocation for content distribution in fog radio access networks

C Fang, H Xu, Y Yang, Z Hu, S Tu, K Ota… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the rapid development of wireless communication technologies, the emerging
multimedia applications make mobile Internet traffic grow explosively while putting forward …

Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Learning based joint cache and power allocation in fog radio access networks

GMS Rahman, M Peng, S Yan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The growing demand for rich content services and developments of industrial internet of
things and vehicle-to-everything communications pose challenging requirements for the …

Joint radio and computational resource allocation in IoT fog computing

Y Gu, Z Chang, M Pan, L Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The current cloud-based Internet-of-Things (IoT) model has revealed great potential in
offering storage and computing services to the IoT users. Fog computing, as an emerging …