Higher Order Modulation

Higher-order modulation explores techniques for encoding more information within a signal, improving data transmission efficiency and robustness. Current research focuses on optimizing modulation schemes for various applications, including wireless communication networks and signal processing, employing machine learning algorithms (like CNNs and SVMs) and novel architectures to enhance classification accuracy and adaptive modulation selection. These advancements are crucial for improving the performance of wireless systems, particularly in challenging environments with noise and fading, and for enabling new applications in areas like vehicle-to-everything communication.