V2X cooperative perception for autonomous driving: Recent advances and challenges
Accurate perception is essential for advancing autonomous driving and addressing safety
challenges in modern transportation systems. Despite significant advancements in computer …
challenges in modern transportation systems. Despite significant advancements in computer …
When machine learning meets network management and orchestration in Edge-based networking paradigms
A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …
decade and related challenges like Big Data and data processing delay, new paradigms …
AoI-aware energy control and computation offloading for industrial IoT
Abstract In Industrial Internet of Things (IIoT), a large volume of data is collected periodically
by IoT devices, and timely data routing and processing are important requirements. Age of …
by IoT devices, and timely data routing and processing are important requirements. Age of …
Deep reinforcement learning assisted federated learning algorithm for data management of IIoT
The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT
equipments generating massive amounts of user data every moment. According to the …
equipments generating massive amounts of user data every moment. According to the …
Optimizing federated learning with deep reinforcement learning for digital twin empowered industrial IoT
W Yang, W Xiang, Y Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accelerated development of the Industrial Internet of Things (IIoT) is catalyzing the
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …
Energy-efficient joint task offloading and resource allocation in OFDMA-based collaborative edge computing
Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …
storage resources to the edge of mobile network and provides rich services and applications …
Uav-assisted task offloading for iot in smart buildings and environment via deep reinforcement learning
J Xu, D Li, W Gu, Y Chen - Building and Environment, 2022 - Elsevier
With the rapid development of Internet of Things (IoT) techniques, IoT devices with sensors
have been widely deployed and used in smart buildings and environment, and the …
have been widely deployed and used in smart buildings and environment, and the …
Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
Dynamic energy efficient task offloading and resource allocation for noma-enabled iot in smart buildings and environment
Abstract Nowadays, the Internet of Things (IoT) devices are widely deployed and applied in
smart buildings and environment, and play an important part in people's daily life. With more …
smart buildings and environment, and play an important part in people's daily life. With more …
Deep-reinforcement-learning-based resource allocation for content distribution in fog radio access networks
With the rapid development of wireless communication technologies, the emerging
multimedia applications make mobile Internet traffic grow explosively while putting forward …
multimedia applications make mobile Internet traffic grow explosively while putting forward …