3 papers
eess.SP2025
Learning-Based Hybrid Neural Receiver for 6G-V2X Communications
Osama Saleem, Mohammed Alfaqawi, Pierre Merdrignac +2
Neural receiver models are proposed to jointly optimize multiple functionalities of wireless receivers; however, a comprehensive receiver model that replaces the entire physical la…
eess.SP2025
Deep Multi-modal Neural Receiver for 6G Vehicular Communication
Osama Saleem, Mohammed Alfaqawi, Pierre Merdrignac +2
Deep Learning (DL) based neural receiver models are used to jointly optimize PHY of baseline receiver for cellular vehicle to everything (C-V2X) system in next generation (6G) comm…
eess.SP2024
TransRx-6G-V2X : Transformer Encoder-Based Deep Neural Receiver For Next Generation of Cellular Vehicular Communications
Osama Saleem, Soheyb Ribouh, Mohammed Alfaqawi +2
End-to-end wireless communication is new concept expected to be widely used in the physical layer of future wireless communication systems (6G). It involves the substitution of tra…