7 citations · 11 across the 19 of their papers we have counts for
20 papers
Distributed ISAC-Enabled Multimodal Recovery of Missing 2-D LiDAR Measurements
Mohammed E Eltayeb
Recovering missing regions in 2-D LiDAR scans is crucial for maintaining geometric awareness in environmental sensing. LiDAR-only reconstruction relies on measurements surrounding…
LiDAR-Derived Surface Priors for Multimodal Sensing-Assisted NLoS Beam Search in Indoor 60-GHz Networks
Amod Ashtekar, Dalton Davis, Rafaela Lomboy +3
Highly directional 60-GHz Internet-of-Things (IoT) links can exploit naturally occurring indoor surfaces to sustain connectivity under blockage. Identifying viable non-line-of-sigh…
Passive Beam Shaping via Binary-Coded Apertures
Mohammed E Eltayeb
This paper presents a coded-aperture reflector for indoor mmWave coverage enhancement in obstructed or blocked LoS settings. We model the reflecting aperture using an equivalent ar…
Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environments
Parth Ashokbhai Shiroya, Amod Ashtekar, Swarnagowri Shashidhar +1
Future intelligent indoor wireless environments require fast and reliable beam alignment to sustain high-throughput links under mobility and blockage. Exhaustive beam training achi…
See and Beam: Leveraging LiDAR Sensing and Specular Surfaces for Indoor mmWave Connectivity
Raj Sai Sohel Bandari, Amod Ashtekar, Omar Ibrahim +1
Millimeter-wave (mmWave) communication enables multi-gigabit-per-second data rates but is highly susceptible to path loss and blockage, especially indoors. Many indoor settings, ho…
Machine Learning for LiDAR-Based Indoor Surface Classification in Intelligent Wireless Environments
Parth Ashokbhai Shiroya, Swarnagowri Shashidhar, Amod Ashtekar +4
Reliable connectivity in millimeter-wave (mmWave) and sub-terahertz (sub-THz) networks depends on reflections from surrounding surfaces, as high-frequency signals are highly vulner…