3 papers
eess.SP2026
ProtoAoA: Few-Shot Angle-of-Arrival Estimation using Prototypical Networks
Elsayed Mohammed, Omar Mashaal, Alec Digby +4
Angle-of-arrival (AoA) estimation is a crucial function in wireless communications used for localization, beam-forming, interference management, and other applications. Deep learni…
eess.SP2025
6G WavesFM: A Foundation Model for Sensing, Communication, and Localization
Ahmed Aboulfotouh, Elsayed Mohammed, Hatem Abou-Zeid
This paper introduces WavesFM, a novel Wireless Foundation Model (WFM) framework, capable of supporting a wide array of communication, sensing, and localization tasks. Our proposed…
eess.SP2025
ProtoBeam: Generalizing Deep Beam Prediction to Unseen Antennas using Prototypical Networks
Omar Mashaal, Elsayed Mohammed, Alec Digby +3
Deep learning techniques have recently emerged to efficiently manage mmWave beam transmissions without requiring time consuming beam sweeping strategies. A fundamental challenge in…