We present NeWRF, a novel deep-learning-based framework for predicting wireless
channels. Wireless channel prediction is a long-standing problem in the wireless community …

We present NeWRF, a deep learning framework for predicting wireless channels. Wireless
channel prediction is a long-standing problem in the wireless community and is a key …

Despite Maxwell's formulation of the electromagnetic wave laws over a century and a half
ago, accurately modeling the transmission of RF signals within electrically complex …

Although Maxwell discovered the physical laws of electromagnetic waves 160 years ago,
how to precisely model the propagation of an RF signal in an electrically large and complex …

In this paper, we propose a deep learning pipeline to predict the signal strength map of a
wireless channel at unvisited locations over the space, based on very sparse channel …

In this article, we consider the problem of wireless channel prediction, where we are
interested in predicting the channel quality at unvisited locations in an area of interest …

Recently, ray tracing has gained renewed interest with the advent of Reflective Intelligent
Surfaces (RIS) technology, a key enabler of 6G wireless communications due to its …

Efficient and accurate indoor radio propagation modeling tools are essential for the design
and operation of wireless communication systems. Lately, several attempts to combine radio …

Neural Radiance Fields (NeRFs) have demonstrated impressive performance in vision and
graphics tasks, such as novel view synthesis and immersive reality. However, the shape …

Abstract Modern Neural Radiance Fields (NeRFs) learn a mapping from position to
volumetric density leveraging proposal network samplers. In contrast to the coarse-to-fine …