What will the future of UAV cellular communications be? A flight from 5G to 6G
What will the future of UAV cellular communications be? In this tutorial article, we address
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …
The design and applications of high-performance ray-tracing simulation platform for 5G and beyond wireless communications: A tutorial
The application scenarios and requirements are more diverse in the fifth-generation (5G) era
than before. In order to successfully support the system design and deployment, accurate …
than before. In order to successfully support the system design and deployment, accurate …
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 …
An overview of machine learning techniques for radiowave propagation modeling
We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …
based on machine learning (ML) algorithms. We identify the input and output specification …
A big data enabled channel model for 5G wireless communication systems
The standardization process of the fifth generation (5G) wireless communications has
recently been accelerated and the first commercial 5G services would be provided as early …
recently been accelerated and the first commercial 5G services would be provided as early …
Sionna RT: Differentiable ray tracing for radio propagation modeling
Sionna™ is a GPU-accelerated open-source library for link-level simulations based on
TensorFlow. Since release v0. 14 it integrates a differentiable ray tracer (RT) for the …
TensorFlow. Since release v0. 14 it integrates a differentiable ray tracer (RT) for the …
Playback of 5G and beyond measured MIMO channels by an ANN-based modeling and simulation framework
X Zhao, F Du, S Geng, Z Fu, Z Wang… - IEEE journal on …, 2020 - ieeexplore.ieee.org
In this work, firstly we propose an artificial neural network (ANN) based channel modeling
and simulation framework to playback a measurement channel to overcome the …
and simulation framework to playback a measurement channel to overcome the …
EM DeepRay: An expedient, generalizable, and realistic data-driven indoor propagation model
Efficient and realistic indoor radio propagation modeling tools are inextricably intertwined
with the design and operation of next-generation wireless networks. Machine-learning (ML) …
with the design and operation of next-generation wireless networks. Machine-learning (ML) …
FadeNet: Deep learning-based mm-wave large-scale channel fading prediction and its applications
Accurate prediction of the large-scale channel fading is fundamental to planning and
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …
Generative neural network channel modeling for millimeter-wave UAV communication
The millimeter wave bands are being increasingly considered for wireless communication to
unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel models …
unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel models …