15 papers
Framework for Indoor Wireless Propagation Modeling Through Wireless Insite
Arao Zau Macaia, Niraj Narayan, Rajeev Shukla +8
Multipaths, reflections, diffractions, and material interactions complicate indoor wireless propagation modelling. More than 80% of wireless data is consumed indoors; hence, planni…
LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation
Rajeev Shukla, Atharva Verma, Aniruddha Chandra +8
Longlshort-term memory (LSTM) is a deep learning model that can capture long-term dependencies of wireless channel models and is highly adaptable to short-term changes in a wireles…
A Deep Learning Approach to Multipath Component Detection in Power Delay Profiles
Ondrej Zeleny, Radek Zavorka, Ales Prokes +5
Power Delay Profile (PDP) plays a crucial role in wireless communications, providing information on multipath propagation and signal strength variations over time. Accurate detecti…
Microdiversity and Vegetation Influence on Forward Scattering at 60 GHz and 80 GHz
Radek Zavorka, Ondrej Zeleny, Jiri Blumenstein +9
Understanding the impact of vegetation and small-scale antenna movements on signal propagation is important for the design and optimization of high-frequency wireless communication…
Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations
Jiri Blumenstein, Radek Zavorka, Josef Vychodil +10
A stochastic modeling methodology for 3-D foliage is presented, aimed at enhancing ray-tracing simulations. The model supports adjustable stochastic geometry, density, and shape to…
Angularly-Resolved 3D Foliage Modeling and Measurements at 60 and 80 GHz: From Stochastic Geometry to Deterministic Channel Characterization
Jiri Blumenstein, Radek Zavorka, Josef Vychodil +10
In this paper, we show a stochastic approach to generate a 3D model of a foliage, which is then used for deterministic ray-tracing channel modeling. This approach is verified by a…