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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3371993
Abstract: The Internet of Things (IoT) and real-time media streaming have increased due to the rapid development of wireless communication technologies and the enormous growth of computation and data transmission tasks. Edge-Cloud Computing (ECC) combines the…
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Keywords:
task;
edge cloud;
framework;
task offloading ... See more keywords
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3064874
Abstract: Vehicle-to-everything communication is an indispensable component of 6G networks that could help to facilitate future transportation systems. However, massive vehicles and unstable vehicle-to-vehicle (V2V) links may become bottlenecks for the low-latency delivery of contents, such…
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Keywords:
vehicle;
massive vehicular;
low latency;
drl based ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3161680
Abstract: Wireless offloading in mobile-edge-computing (MEC)-enabled Internet of Things (IoT) networks inevitably suffers the risk of eavesdropping. Physical-layer security (PLS) approaches can be applied to prevent eavesdropping. However, the existing PLS techniques are not well targeted…
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Keywords:
drl based;
iot networks;
security;
video offloading ... See more keywords
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3
Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2023.3242449
Abstract: This letter investigates a downlink orthogonal frequency division multiplexing (OFDM) transmission system aided by a reconfigurable intelligent surface (RIS). To reduce the system overhead and cost, we consider a 1-bit resolution and column-wise controllable RIS,…
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Keywords:
ris phase;
phase shift;
drl based;
based ris ... See more keywords
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Published in 2024 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2023.3271666
Abstract: In real-life production systems, arrivals of jobs are usually unpredictable, which makes it necessary to develop solid reactive scheduling policies to meet delivery requirements. Deep reinforcement learning (DRL) based scheduling methods are capable of quickly…
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Keywords:
reactive scheduling;
time;
drl based;
policy ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3554431
Abstract: This paper presents an explainable deep-reinforcement learning (DRL)-based safety-aware optimal adaptive tracking (SOAT) scheme for a class of nonlinear discrete-time (DT) affine systems subject to state inequality constraints. The DRL-based SOAT utilizes a multilayer neural…
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Keywords:
safety aware;
time;
control;
drl based ... See more keywords
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Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2024.3499328
Abstract: Recent routing algorithms show the potential of deep reinforcement learning (DRL) for optimal routing in mobile ad-hoc networks (MANETs). However, existing DRL-based methods still have limitations in generalization and adaptability when facing unseen scenarios and…
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Keywords:
chimera;
drl based;
based routing;
policy ... See more keywords
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Published in 2024 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3325905
Abstract: In the ongoing 5G and upcoming 6G eras, the intelligent Internet of Things (IoT) network will take increasingly important responsibility for industrial production, daily life and so on. The IoT devices with limited battery size…
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Keywords:
problem;
edge;
drl based;
computation rate ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3575814
Abstract: The convergence of intelligent transportation systems and urban informatics has given rise to the deployment of connected and autonomous vehicles (CAVs) which offers the potential to enhance the safety and efficiency. However, the increasing volume…
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Keywords:
enabled digital;
trajectory planning;
digital twin;
drl based ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2022.3177942
Abstract: In this paper, a novel DRL-based model (VWP, VAE-WGAN-PPOE) is proposed to solve the problem of long training time and unsatisfactory training effect in the end-to-end autonomous driving. The model is optimized from feature extraction…
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Keywords:
navigation;
drl based;
driving model;
model ... See more keywords
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Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2022.3191748
Abstract: Multi-access edge computing (MEC) has been regarded as one of the essential technologies for mobile networks, by providing computing resources and services close to users, thereby, avoiding extra energy consumption and fitting the low-latency ultra-reliable…
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Keywords:
long term;
drl based;
resource;
task offloading ... See more keywords