Transceiver Design

Transceiver design focuses on optimizing the efficient and reliable transmission and reception of signals in communication systems, aiming to maximize data throughput and minimize latency. Current research emphasizes leveraging machine learning, particularly deep learning and deep-unfolding techniques, to design more efficient and adaptable transceivers, alongside the exploration of novel waveform designs and signal processing algorithms like decision feedback equalization. These advancements are crucial for enabling next-generation communication technologies, such as 6G and over-the-air computing, and improving the performance of applications ranging from hearing aids to satellite communications.