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 …
Learning radio environments by differentiable ray tracing
Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and
environment-specific channel impulse responses (CIRs). While acquiring accurate scene …
environment-specific channel impulse responses (CIRs). While acquiring accurate scene …
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 …
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 …
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 …
Overview of the First Pathloss Radio Map Prediction Challenge
Pathloss quantifies the reduction in power density of a signal radiated from a transmitter. The
attenuation is due to large-scale effects such as free-space propagation loss and …
attenuation is due to large-scale effects such as free-space propagation loss and …
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 …
Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges
Channel modeling is fundamental in advancing wireless systems and has thus attracted
considerable research focus. Recent trends have seen a growing reliance on data-driven …
considerable research focus. Recent trends have seen a growing reliance on data-driven …