The ubiquitous deployment of Internet of Things (IoT) and the ever-evolving IoT services
seek fully autonomous devices with no energy limitations. To fulfill this demand, we …

This paper investigates a mobile edge computing (MEC) network assisted by an unmanned
aerial vehicle (UAV), where the moving UAV and a fixed ground base station cooperatively …

Accurately estimating channel state information is essential for meeting the quality-of-service
requirements of modern applications and scenarios. Deep learning techniques have proven …

The widespread use of UAVs in smart cities for tasks like traffic monitoring and
environmental data collection creates significant privacy and security concerns due to the …

Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …

Wireless Federated Learning (FL) is an emerging distributed machine learning paradigm,
particularly gaining momentum in domains with confidential and private data on mobile …

The UAV (unmanned aerial vehicles) network is a promising solution to support real-time
applications and services. However, local UAV nodes are prone to privacy disclosure, and …

In the realm of future 6G wireless networks, integrating the intelligent edge through the
advent of AI signifies a momentous leap forward, promising revolutionary advancements in …