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 …
The Roadmap of Communication and Networking in 6G for the Metaverse
The Metaverse can be regarded as a hypothesized iteration of the Internet, which enables
people to work, play, and interact socially in a persist online 3-D virtual environment with an …
people to work, play, and interact socially in a persist online 3-D virtual environment with an …
Speech emotion recognition enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space–air–ground integrated intelligent transportation …
L Tan, K Yu, L Lin, X Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) is becoming the main human–computer interaction logic
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …
5G embraces satellites for 6G ubiquitous IoT: Basic models for integrated satellite terrestrial networks
Terrestrial communication networks mainly focus on users in urban areas but have poor
coverage performance in harsh environments, such as mountains, deserts, and oceans …
coverage performance in harsh environments, such as mountains, deserts, and oceans …
A survey on machine-learning techniques for UAV-based communications
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …
communication networks. Their adoption in various communication-based applications is …
Integrated satellite-terrestrial networks toward 6G: Architectures, applications, and challenges
X Zhu, C Jiang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
With the increasing global communication demands and the development of Internet of
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN
In this article, we investigate a computing task scheduling problem in space-air-ground
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
When machine learning meets privacy in 6G: A survey
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
QoE-aware efficient content distribution scheme for satellite-terrestrial networks
The satellite-terrestrial networks (STN) utilize the spacious coverage and low transmission
latency of the Low Earth Orbit (LEO) constellation to transfer requested content for …
latency of the Low Earth Orbit (LEO) constellation to transfer requested content for …
Vehicular intelligence in 6G: Networking, communications, and computing
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …
predict that 6G will be the key driving force for information interaction and social life after …