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Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Artificial intelligence for edge service optimization in internet of vehicles: A survey
X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …
its powerful capability of collecting real-time information. Generally, collected information is …
Artificial intelligence powered mobile networks: From cognition to decision
Mobile networks (MNs) are anticipated to provide unprecedented opportunities to enable a
new world of connected experiences and radically shift the way people interact with …
new world of connected experiences and radically shift the way people interact with …
A deep learning based image enhancement approach for autonomous driving at night
Images of road scenes in low-light situations are lack of details which could increase crash
risk of connected autonomous vehicles (CAVs). Therefore, an effective and efficient image …
risk of connected autonomous vehicles (CAVs). Therefore, an effective and efficient image …
Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …
centralized cloud computing toward edge computing resulting in a paradigm shift in …
Machine learning-based load balancing algorithms in future heterogeneous networks: A survey
The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …
ESTNet: Embedded spatial-temporal network for modeling traffic flow dynamics
Accurate spatial-temporal prediction is a fundamental building block of many real-world
applications such as traffic scheduling and management, environment policy making, and …
applications such as traffic scheduling and management, environment policy making, and …
AI empowered communication systems for intelligent transportation systems
Z Lv, R Lou, AK Singh - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Intelligent control of traffic has significant influence on the scheduling efficiency of urban
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …