The application of unmanned aerial vehicles (UAVs) to emerging communication systems has attracted a lot of research interest due to the advantages of UAVs, such as high mobility, flexible deployment, and cost-effectiveness. The UAV-carried base stations (UAV-BS) can provide on-demand service to users in temporary or emergency events. However, how to optimize the communication performance of a UAV-BS with a limited-bandwidth wireless backhaul is still a challenge. This work package focuses on improving the positioning UAV/AUV-BS and optimizing the trajectory in the mixed ground and air networks of BS.  

 The rapid development of underwater communication systems and the increasing demand for high-speed, reliable, and low-latency connectivity in aquatic environments have sparked significant interest in exploring advanced networking technologies. Optical network slicing, a key concept in 5G networks, has the potential to revolutionize underwater communication systems by providing efficient resource allocation and customized network services. The performance metrics are essential for evaluating and optimizing the effectiveness and efficiency of 5G & 6G underwater optical network slicing. By monitoring and optimizing performance metrics, operators and service providers can ensure that network slices meet the specific requirements of different underwater applications and deliver reliable and efficient communication services. This research proposal aims to outline the research objectives, methodology, performance metrics, and potential contributions, which focus on 5G optical network slicing in underwater environments.

In this work package, AI-based Energy Efficient UAV-assisted Communications investigate. As we know that the 5G mobile systems are being deployed around the globe, researchers have started to envision 6G networks to integrate the functions of sensing, communication, computation, and control. Following in the footsteps of the 5G wireless network, the 6G wireless network is expected to provide massive connectivity to millions of interconnected devices with diverse quality of service (QoS) requirements, ubiquitous coverage, a high degree of embedded artificial intelligence (AI), efficient use of energy, and adaptive network security. In addition, UAVs can play a significant part in the 6G ecosystem since flying devices are expected to densely occupy aerial space, operating as a network layer between ground and space networks. Throughout this work package the security and privacy, AI, and energy-efficiency solutions that surround UAV networks in

6G is willing to investigate.