Challenges and solutions for cellular based V2X communications
A wide variety of works have been conducted in vehicle-to-everything (V2X)
communications to enable a variety of applications for road safety, traffic efficiency and …
communications to enable a variety of applications for road safety, traffic efficiency and …
Internet of intelligence: A survey on the enabling technologies, applications, and challenges
The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …
make intelligence as easy to obtain as information. This paper provides an overview of the …
Multi-objective parallel task offloading and content caching in D2D-aided MEC networks
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …
content caching and D2D links, the edge server and nearby mobile devices can provide task …
Task offloading for cloud-assisted fog computing with dynamic service caching in enterprise management systems
In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …
Power control based on deep reinforcement learning for spectrum sharing
In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …
management for the next generation wireless communication network. However, traditional …
Vehicular task offloading via heat-aware MEC cooperation using game-theoretic method
Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method
As an industrial application of Internet of Things (IoT), Internet of Vehicles (IoV) is one of the
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
A survey on resource allocation in vehicular networks
Vehicular networks, an enabling technology for Intelligent Transportation System (ITS),
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …
Multiagent deep-reinforcement-learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks
Vehicle-to-vehicle communications can offer direct information interaction, including security-
centered information and entertainment information. However, the rapid proliferation of …
centered information and entertainment information. However, the rapid proliferation of …
Exploring individual travel patterns across private car trajectory data
Understanding the travel behavior of private cars will generate promising solutions on
addressing urban problems such as alleviating traffic congestion and improving transport …
addressing urban problems such as alleviating traffic congestion and improving transport …