Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
Video data offloading techniques in Mobile Edge Computing: A survey
H Ma, B Ji, H Wu, L **ng - Physical Communication, 2024 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
Secure video offloading in multi-UAV-enabled MEC networks: A deep reinforcement learning approach
Unmanned aerial vehicle (UAV)-enabled mobile-edge computing (MEC) has been widely
applied in Internet of Things networks while the security risk of wireless computation …
applied in Internet of Things networks while the security risk of wireless computation …
-Band -Plane Waveguide Bandpass Filters Using Spoof Surface Plasmon Polaritons and Grounded Lines
Y Liu, KD Xu - IEEE Transactions on Microwave Theory and …, 2023 - ieeexplore.ieee.org
A new design method of-band-plane waveguide bandpass filters (BPFs) has been reported
in this article. The proposed design method is implemented by inserting dielectric substrates …
in this article. The proposed design method is implemented by inserting dielectric substrates …
Physical layer security enhancement in energy harvesting-based cognitive internet of things: A GAN-powered deep reinforcement learning approach
R Lin, H Qiu, J Wang, Z Zhang, L Wu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Cognitive radio (CR) is regarded as the key technology of the 6th-Generation (6G) wireless
network. Because 6G CR networks are anticipated to offer worldwide coverage, increase …
network. Because 6G CR networks are anticipated to offer worldwide coverage, increase …
Secure Video Offloading in MEC-Enabled IIoT Networks: A Multicell Federated Deep Reinforcement Learning Approach
Wireless video offloading in mobile-edge-computing (MEC)-enabled Industrial Internet of
Things imposes a risk of exposing users' private data to eavesdroppers. It is difficult for …
Things imposes a risk of exposing users' private data to eavesdroppers. It is difficult for …
Deep reinforcement learning-based video offloading and resource allocation in noma-enabled networks
S Gao, Y Wang, N Feng, Z Wei, J Zhao - Future Internet, 2023 - mdpi.com
With the proliferation of video surveillance system deployment and related applications, real-
time video analysis is very critical to achieving intelligent monitoring, autonomous driving …
time video analysis is very critical to achieving intelligent monitoring, autonomous driving …
Personalized and differential privacy-aware video stream offloading in mobile edge computing
P Zhao, Z Yang, G Zhang - IEEE Transactions on Cloud …, 2024 - ieeexplore.ieee.org
In Mobile Edge Computing (MEC), the collaboration between end devices and servers
guarantees the low-latency and high-accuracy video stream analysis. However, such …
guarantees the low-latency and high-accuracy video stream analysis. However, such …
An efficient computation offloading and resource allocation algorithm in RIS empowered MEC
X Zhang, W Wu, S Liu, J Wang - Computer Communications, 2023 - Elsevier
Mobile edge computing (MEC) enables mobile devices (MDs) to offload computation-
intensive tasks to edge servers to support a variety of latency-sensitive emerging …
intensive tasks to edge servers to support a variety of latency-sensitive emerging …
DRL-based secure aggregation and resource orchestration in MEC-enabled hierarchical federated learning
Federated learning (FL) provides a new paradigm for protecting data privacy by enabling
model training at devices and model aggregation at servers. However, data information may …
model training at devices and model aggregation at servers. However, data information may …