Effective Presentation of Problem-Solution Reports

This research explores the optimization of constellation shaping techniques for wireless systems, contrasting classical methods with machine learning-based approaches. It addresses key challenges, methodologies, and experimental setups, focusing on 16-QAM as a baseline for shaping gains. The study evaluates performance metrics, visualizes learned constellations, and provides technical insights with implications for practical application. Limitations and future directions are analyzed to...