Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
Deep Learning (DL) has enabled a paradigm shift in wireless communication system with
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …
Goal-Oriented Source Coding and Filtering for Vehicular Communications
JM Gimenez-Guzman, I Leyva-Mayorga… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) networks will constitute a prominent application in future
generations of cellular networks, definitely transforming our conception of transportation …
generations of cellular networks, definitely transforming our conception of transportation …
Pilot-Free Semantic Communication Systems for Frequency-Selective Fading Channels
Z Cao, H Zhang, L Liang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the paradigm shift from traditional communication systems to machine learning-driven
communication systems, deep learning-based semantic communication is considered as a …
communication systems, deep learning-based semantic communication is considered as a …