Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method
The rise of edge intelligence is driving a shift in the focus of complexity computing to the
edge. Due to network and communication constraints, traditional edge computing resource …
edge. Due to network and communication constraints, traditional edge computing resource …
Deep reinforcement learning for scheduling in an edge computing‐based industrial internet of things
J Wu, G Zhang, J Nie, Y Peng… - … and Mobile Computing, 2021 - Wiley Online Library
The demand for improving productivity in manufacturing systems makes the industrial
Internet of things (IIoT) an important research area spawned by the Internet of things (IoT). In …
Internet of things (IIoT) an important research area spawned by the Internet of things (IoT). In …
Throughput maximization for ambient backscatter communication: A reinforcement learning approach
X Wen, S Bi, X Lin, L Yuan… - 2019 IEEE 3rd Information …, 2019 - ieeexplore.ieee.org
Ambient backscatter (AB) communication is an emerging wireless communication
technology that enables wireless devices (WDs) to communicate without requiring active …
technology that enables wireless devices (WDs) to communicate without requiring active …
Resource allocation based on deep reinforcement learning in IoT edge computing
By leveraging mobile edge computing (MEC), a huge amount of data generated by Internet
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
Bargaining game based time scheduling scheme for ambient backscatter communications
S Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Backscatter communications have been acknowledged as an essential key technology in
the Internet of Things (IoT) applications. Considering the fact that it needs the coordination …
the Internet of Things (IoT) applications. Considering the fact that it needs the coordination …
Federated learning-based computation offloading optimization in edge computing-supported internet of things
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 …
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …
Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing
To support popular Internet of Things (IoT) applications such as virtual reality and mobile
games, edge computing provides a front-end distributed computing archetype of centralized …
games, edge computing provides a front-end distributed computing archetype of centralized …
Dynamic User Association and Computation Offloading in Satellite Edge Computing Networks via Deep Reinforcement Learning
H Zhang, H Zhao, R Liu, X Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite mobile edge computing (SMEC) deployed on ultra-dense low Earth orbit (LEO)
satellites with high throughput and low latency can provide ubiquitous computing services …
satellites with high throughput and low latency can provide ubiquitous computing services …
Collaborative Computation Offloading and Resource Management in Space–Air–Ground Integrated Networking: A Deep Reinforcement Learning Approach
F Li, K Qu, M Liu, N Li, T Sun - Electronics, 2024 - mdpi.com
With the increasing dissemination of the Internet of Things and 5G, mobile edge computing
has become a novel scheme to assist terminal devices in executing computation tasks. To …
has become a novel scheme to assist terminal devices in executing computation tasks. To …
Deep reinforcement learning based cooperative partial task offloading and resource allocation for IIoT applications
The Industrial Internet of Things (IIoT) has been regarded as one of the pillars supporting the
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …
conceptual paradigm of the Industry 4.0. Compared with traditional cloud computing …