Aerial Network

Aerial networks, encompassing communication systems using unmanned aerial vehicles (UAVs), aim to provide flexible and adaptable wireless connectivity, particularly in challenging or underserved areas. Current research focuses on optimizing routing protocols (e.g., using Q-learning), improving collaborative perception between aerial and ground-based systems (e.g., through novel neural network architectures), and developing efficient trajectory and resource allocation strategies (e.g., via Markov decision processes). These advancements are crucial for enhancing the reliability, efficiency, and performance of aerial networks, impacting applications ranging from disaster response and environmental monitoring to intelligent transportation systems.