Wireless Environment

Research on wireless environments focuses on improving the efficiency, reliability, and security of wireless communication and sensing in dynamic contexts. Current efforts leverage machine learning, particularly reinforcement learning and deep learning models, to address challenges like device identification, accurate activity monitoring, and efficient resource allocation in diverse scenarios (e.g., federated learning, vehicular networks). These advancements are crucial for enabling next-generation wireless systems (like 6G) and applications ranging from smart homes and healthcare to autonomous vehicles, improving performance and addressing privacy concerns.