A review on through-wall communications: Wall characterization, applications, technologies, and prospects
H Jamshidi-Zarmehri, A Akbari, M Labadlia… - IEEE …, 2023 - ieeexplore.ieee.org
This paper underscores the paramount significance of through-wall communications by
providing a comprehensive exploration of pivotal aspects like wall characterization, relevant …
providing a comprehensive exploration of pivotal aspects like wall characterization, relevant …
Indoor radio map construction via ray tracing with RGB-D sensor-based 3D reconstruction: concept and experiments in WLAN systems
This paper proposes an RGB-D sensor-aided ray-tracing simulation framework for indoor
radio map construction that models indoor information, such as walls and obstacles, as a set …
radio map construction that models indoor information, such as walls and obstacles, as a set …
Pseudo ray-tracing: Deep leaning assisted outdoor mm-wave path loss prediction
In this letter we present our results on how deep learning can be leveraged for outdoor path
loss prediction in the 30GHz band. In particular, we exploit deep learning to boost the …
loss prediction in the 30GHz band. In particular, we exploit deep learning to boost the …
Wisegrt: Dataset for site-specific indoor radio propagation modeling with 3d segmentation and differentiable ray-tracing
The accurate modeling of indoor radio propagation is crucial for localization, monitoring, and
device coordination, yet remains a formidable challenge, due to the complex nature of …
device coordination, yet remains a formidable challenge, due to the complex nature of …
A generalizable indoor propagation model based on graph neural networks
S Liu, T Onishi, M Taki… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A surrogate model that “learns” the physics of radio wave propagation is indispensable for
the efficient optimization of communication network coverages and comprehensive …
the efficient optimization of communication network coverages and comprehensive …
Deep learning-based path loss prediction for outdoor wireless communication systems
Deep learning (DL) has been recently leveraged for the inference of characteristics related
to wireless communication channels, such as path loss (PL). This paper presents how a …
to wireless communication channels, such as path loss (PL). This paper presents how a …
Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
Electromagnetic (EM) body models designed to predict Radio-Frequency (RF) propagation
are time-consuming methods which prevent their adoption in strict real-time computational …
are time-consuming methods which prevent their adoption in strict real-time computational …
Generalizable Machine-Learning Based Modeling of Radiowave Propagation in Stadiums
A Seretis, V Jevremovic, A Jemmali… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Providing high throughput and quality of service in modern stadiums necessitates the
placement of hundreds of access points (APs). Optimizing the locations of APs in such …
placement of hundreds of access points (APs). Optimizing the locations of APs in such …
Stochastic evaluation of indoor wireless network performance with data-driven propagation models
Cell densification through the installation of smallcells and femtocells in indoor
environments is an emerging solution to enhance the operation of wireless networks. The …
environments is an emerging solution to enhance the operation of wireless networks. The …
IRGAN: CGAN-based Indoor Radio Map Prediction
CT Cisse, O Baala, V Guillet, F Spies… - 2023 IFIP Networking …, 2023 - ieeexplore.ieee.org
Radio map or radio coverage prediction in indoor and outdoor remains a challenge of great
interest due to the large number of applications it allows. Many techniques such as data …
interest due to the large number of applications it allows. Many techniques such as data …