3 papers
eess.SP2026
GS-SBL: Bridging Greedy Pursuit and Sparse Bayesian Learning for Efficient 3D Wireless Channel Modeling
Mushfiqur Rahman, Ismail Guvenc, David Matolak
Robust cognitive radio development requires accurate 3D path loss models. Traditional empirical models often lack environment-awareness, while deep learning approaches are frequent…
cs.NI2026
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…
eess.SP2026
Platform-Aware Channel Knowledge Mapping via Mutual Antenna Pattern Learning in 3D Wireless Links
Mushfiqur Rahman, Ismail Guvenc, Jason A. Abrahamson +1
This letter proposes a platform-aware framework to characterize wireless links by empirically modeling the `near-platform' scattering and reflections induced by the hardware mounti…