Wireless Channel

Wireless channel research focuses on understanding and optimizing the transmission of information over wireless media, aiming to improve the reliability, efficiency, and security of wireless communication systems. Current research emphasizes leveraging machine learning, particularly deep learning models like transformers and graph convolutional networks, along with algorithms such as reinforcement learning and conformal prediction, to address challenges in resource allocation, channel prediction, and data augmentation for applications like federated learning and indoor localization. These advancements are crucial for enhancing the performance of various wireless technologies, including 5G and beyond, and enabling new applications in areas such as autonomous driving and the Internet of Things.