Security and privacy on 6g network edge: A survey
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
Internet of underwater things and big marine data analytics—a comprehensive survey
The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …
developed for connecting underwater objects in maritime and underwater environments …
Data-driven deep learning for automatic modulation recognition in cognitive radios
Automatic modulation recognition (AMR) is an essential and challenging topic in the
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …
Task offloading in vehicular edge computing networks: A load-balancing solution
Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …
sensitive vehicular applications such as automatic driving, auto navigation. Note that …
A hybrid deep learning-based model for anomaly detection in cloud datacenter networks
With the emergence of the Internet-of-Things (IoT) and seamless Internet connectivity, the
need to process streaming data on real-time basis has become essential. However, the …
need to process streaming data on real-time basis has become essential. However, the …
Deep cognitive perspective: Resource allocation for NOMA-based heterogeneous IoT with imperfect SIC
The Internet of Things (IoT) has attracted significant attentions in the fifth generation mobile
networks and the smart cities. However, considering the large numbers of connectivity …
networks and the smart cities. However, considering the large numbers of connectivity …
AI-enhanced offloading in edge computing: When machine learning meets industrial IoT
W Sun, J Liu, Y Yue - IEEE Network, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables intelligent industrial operations by
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …
incorporating artificial intelligence (AI) and big data technologies. An AI-enabled framework …
[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems
L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …
growth of digitalisation and has the potential to enable the 'system of systems' approach …
Intelligent task offloading in vehicular edge computing networks
Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …
both artificial intelligence and wireless communications technologies. The vehicles get …