Mobility Aware

Mobility-aware research focuses on optimizing systems and algorithms to account for the dynamic movement of entities, primarily vehicles and mobile users, within networks and computational environments. Current research emphasizes developing efficient resource allocation strategies, often employing decentralized optimization frameworks and greedy algorithms, to address challenges like limited bandwidth, short-lived connections, and the need for real-time computation in applications such as collaborative perception and federated learning. This work is crucial for enabling the seamless operation of emerging technologies like autonomous driving, connected vehicles, and edge computing, improving performance, efficiency, and reliability in dynamic environments.