2 citations · 2 across the 13 of their papers we have counts for
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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…
Vision-Based Autonomous MM-Wave Reflector Using ArUco-Driven Angle-of-Arrival Estimation
Josue Marroquin, Nan Inzali, Miles Dillon Lantz +4
Reliable millimeter-wave (mmWave) communication in non-line-of-sight (NLoS) conditions remains a major challenge for both military and civilian operations, especially in urban or i…