Wireless Communication

Wireless communication research intensely focuses on improving efficiency and reliability, primarily through the integration of artificial intelligence and machine learning. Current efforts center on developing sophisticated channel models using neural networks (including convolutional and graph neural networks) for accurate signal prediction and detection across diverse environments, optimizing resource allocation, and enhancing the design of waveforms and receivers. These advancements are crucial for enabling next-generation wireless systems, such as 6G, and for supporting emerging applications like self-driving networks and wireless sensing.