Robust Communication

Robust communication research focuses on developing methods for reliable information transmission and processing despite noise, errors, and uncertainties inherent in various communication channels and systems. Current efforts concentrate on improving energy efficiency in wireless networks, leveraging deep learning and other machine learning techniques for adaptive resource allocation and robust error correction, and enhancing the security and reliability of communication in challenging environments like cislunar space and multi-robot systems. These advancements are crucial for enabling efficient and reliable operation of diverse applications, including federated learning, autonomous systems, and secure data transmission in various contexts.