Parallel, Distributed, Edge Computing in UAV Communication

Dear Colleagues,

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

The UAV  network is an important part of the sixth generation (6G) wireless communication system in the future. Compared with the traditional communication network based on ground infrastructure, the drone network has many unique attributes, such as low-cost, high mobility, easily deployment, widely coverage, strong viewing links, controllable mobility, etc., these features integrate communication, perception, computing, intelligence, and security. It provides new opportunities in enhancing coverage, improving spectrum efficiency, and user service quality. The UAV network is expected to provide communication, perception, computing, cache and other services for various application scenarios. However, the high mobility of drones has also brought great challenges to many aspects of the drone network application, including the intelligent network, channel modeling, flight deployment, mobility control, trajectory optimization, and optimization of drone networks, this has also become a bottleneck restricting such drone network development. At present, the research and development of UAV networks is not yet mature, and researchers need to study the key theory and technologies of the UAV network in depth to promote the development of 6G wireless communication systems.

The contents of this album include but are not limited to the following directions:

• Intelligent coverage of drone wireless networks
• Drone wireless transmission channel measurement and modeling
• New network architecture based on drones
• Spectral management and network planning of drone networks
• Flight trajectory optimization in the drone network
• Collaborative communication of drones
• Collaborative perception of drones
• Federal Learning of Drone Group
• Drone communication perception integration
• Drone communication calculation integration
• High -energy -efficient drone network access control
• MMO and beam -shaped of the drone network
• Interference control of the drone network
• AI -based drone network control
• Physical layer security technology of drone network
• The application of drone network in rail transit
• The application of drone network in intelligent transportation
• The application of the drone network in other fields.

I look forward to receiving your contributions.

Technical Program Committee Member:

Dr. Ping Wang
Academy of Military Science, Beijing 100091, China

Dr. Yuan Gao
Prof. Dr. Su Hu
Guest Editors

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