5 citations · 10 across the 3 of their papers we have counts for
5 papers
TRACE: Learning to Self-Calibrate Wireless Digital Twins from ISAC Measurements
Saad Masrur, Saeed R. Khosravirad, Ismail Guvenc
Wireless digital twins (DTs) rely on 3D environment models to predict radio propagation and support wireless-network decisions, yet these models are often initialized from imperfec…
Curated Wireless Datasets for Aerial Network Research
Amir Hossein Fahim Raouf, Donggu Lee, Mushfiqur Rahman +18
This Review consolidates publicly available aerial wireless measurement datasets collected using AERPAW. We organize signal-level, power-level, and KPI-level datasets under a unifi…
Collection: UAV-Based RSS Measurements from the AFAR Challenge in Digital Twin and Real-World Environments
Saad Masrur, Ozgur Ozdemir, Anil Gurses +19
This paper presents a comprehensive real-world and Digital Twin (DT) dataset collected as part of the AERPAW Find A Rover (AFAR) Challenge, organized by the NSF Aerial Experimentat…
Impact of Altitude, Bandwidth, and NLOS Bias on TDOA-Based 3D UAV Localization: Experimental Results and CRLB Analysis
Cole Dickerson, Saad Masrur, Jonah Dickerson +2
This paper investigates unmanned aerial vehicle (UAV) localization using time difference of arrival (TDOA) measurements under mixed line-of-sight (LOS) and non-line-of-sight (NLOS)…
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks
Anıl Gürses, Gautham Reddy, Saad Masrur +7
Digital twins (DTs), which are virtual environments that simulate, predict, and optimize the performance of their physical counterparts, hold great promise in revolutionizing next-…