UAV communications for 5G and beyond: Recent advances and future trends
Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
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) …
Compressive sampling framework for 2D-DOA and polarization estimation in mmWave polarized massive MIMO systems
The polarized massive multiple-input multiple-output (MIMO) technique has been regarded
as a promising solution to millimeter wave (mmWave) communication systems, because it …
as a promising solution to millimeter wave (mmWave) communication systems, because it …
Internet of vehicles in big data era
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …
connected through heterogeneous radio access technologies and are able to exchange …
Optimizing space-air-ground integrated networks by artificial intelligence
It is widely acknowledged that the development of traditional terrestrial communication
technologies cannot provide all users with fair and high quality services due to scarce …
technologies cannot provide all users with fair and high quality services due to scarce …
Trajectory design and power control for multi-UAV assisted wireless networks: A machine learning approach
A novel framework is proposed for the trajectory design of multiple unmanned aerial
vehicles (UAVs) based on the prediction of users' mobility information. The problem ofjoint …
vehicles (UAVs) based on the prediction of users' mobility information. The problem ofjoint …
DeepEDN: A deep-learning-based image encryption and decryption network for internet of medical things
Internet of Medical Things (IoMT) can connect many medical imaging equipment to the
medical information network to facilitate the process of diagnosing and treating doctors. As …
medical information network to facilitate the process of diagnosing and treating doctors. As …
Integration of blockchain and edge computing in internet of things: A survey
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …
has been increasingly used in Internet of Things (IoT) applications. The integration of …
Imaging and fusing time series for wearable sensor-based human activity recognition
Z Qin, Y Zhang, S Meng, Z Qin, KKR Choo - Information Fusion, 2020 - Elsevier
To facilitate data-driven and informed decision making, a novel deep neural network
architecture for human activity recognition based on multiple sensor data is proposed in this …
architecture for human activity recognition based on multiple sensor data is proposed in this …
DSF-NOMA: UAV-assisted emergency communication technology in a heterogeneous Internet of Things
The Internet of Things (IoT) has significant importance in the beyond fifth generation (B5G)
communication systems. However, the IoT is vulnerable to disasters because the network is …
communication systems. However, the IoT is vulnerable to disasters because the network is …