DOI: https://doi.org/10.1109/ACCESS.2025.3586043
PDF: SIGNETS.pdf

Neural networks are used to improve QAM demodulation under complex channel conditions, achieving high accuracy (~99.66%) with low computational cost. A Pareto-optimal CNN is found via architecture search, and an efficient FPGA implementation is demonstrated with real-world validation. Accepted at IEEE Access.