Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
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 …
Deep learning for super-resolution channel estimation and DOA estimation based massive MIMO system
H Huang, J Yang, H Huang, Y Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The recent concept of massive multiple-input multiple-output (MIMO) can significantly
improve the capacity of the communication network, and it has been regarded as a …
improve the capacity of the communication network, and it has been regarded as a …
Deep learning for intelligent wireless networks: A comprehensive survey
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Ten challenges in advancing machine learning technologies toward 6G
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …
more developed cellular communication technique, 6G, which is expected to achieve high …
Networking and communications in autonomous driving: A survey
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
Deep-learning-based millimeter-wave massive MIMO for hybrid precoding
H Huang, Y Song, J Yang, G Gui… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been
regarded to be an emerging solution for the next generation of communications, in which …
regarded to be an emerging solution for the next generation of communications, in which …
Deep learning for an effective nonorthogonal multiple access scheme
Nonorthogonal multiple access (NOMA) has been considered as an essential multiple
access technique for enhancing system capacity and spectral efficiency in future …
access technique for enhancing system capacity and spectral efficiency in future …