On the road to 6G: Visions, requirements, key technologies and testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial
development, providing users with new services and improved user experiences as well as …
development, providing users with new services and improved user experiences as well as …
Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
A 3d wideband channel model for ris-assisted mimo communications
Recently, reconfigurable intelligent surface (RIS) has drawn much attention due to its
capability of improving coverage and communication performance. The development of RIS …
capability of improving coverage and communication performance. The development of RIS …
Channel scenario extensions, identifications, and adaptive modeling for 6G wireless communications
To provide customized high-quality services for all users in the sixth generation (6G)
wireless communication systems, it is fundamental to study all 6G channel scenarios and …
wireless communication systems, it is fundamental to study all 6G channel scenarios and …
Underwater optical channel generator: A generative adversarial network based approach
As a high-speed, large-capacity underwater communication technology, underwater
wireless optical communication (UWOC) has broad development prospects. However …
wireless optical communication (UWOC) has broad development prospects. However …
Multi-scenario millimeter wave wireless channel measurements and sparsity analysis
Wireless channel characteristics have significant impacts on channel modeling, estimation,
and communication performance. While the channel sparsity is an important characteristic of …
and communication performance. While the channel sparsity is an important characteristic of …
Prediction of RF-EMF Exposure by Outdoor Drive Test Measurements
In this paper, we exploit the artificial neural network (ANN) model for a spatial reconstruction
of radio-frequency (RF) electromagnetic field (EMF) exposure in an outdoor urban …
of radio-frequency (RF) electromagnetic field (EMF) exposure in an outdoor urban …
Canny Enhanced High-Resolution Neural Network for Satellite Image Based Land Cover Classification and Its Application in Wireless Channel Simulations
Satellite image based land cover classification, which falls under the category of semantic
segmentation, is critical for many global and environmental applications. Deep learning has …
segmentation, is critical for many global and environmental applications. Deep learning has …
Equilibrated and Fast Resources Allocation for Massive and Diversified MTC Services Using Multiagent Deep Reinforcement Learning
L Tang, Y Du, Q Chen, Q Liu, J Li… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Massive and diversified machine type communication (MTC) service is one of the
development trends of MTC in Internet of Things (IoT). Meanwhile, realizing network …
development trends of MTC in Internet of Things (IoT). Meanwhile, realizing network …
Deep Learning Based THz Wireless Channel Property Prediction in Motherboard Desktop Environment
This paper proposes a residual network (ResNet) based feature concatenated neural
network model to predict the type of scenario the channel is under and the attribute of the …
network model to predict the type of scenario the channel is under and the attribute of the …