High Security and Low Latency Data Transmission Platform for 5g-Connected Unmanned Aerial Vehicle(2/2)

Due to the high mobility and low infrastructure cost, unmanned aerial vehicles (UAVs) have attracted significant attention recently from both academic and industry. In particular, 5G-connected UAV can not only collect sensing data but also serve as a base station to improve the performance of mobile applications. However, compared to the ground communication links, communications of 5G-connected UAV require higher security and lower latency requirements to ensure the aerial link reliability. Therefore, we plan a project to provide comprehensive design principle and experimental verification of 5G-connected UAV communication systems. We will investigate the performance modeling and enhancement techniques from the aspects of medium access control layer and network layer. In addition, new data transmission technique and its system will be developed. The objective of each year is listed as follows:1st year: Propose network coding method for protecting the privacy of Internet of drones (IoD) data to meet the high security requirement;2nd year: Adopt stochastic network calculus to obtain the delay performance of UAV aerial communications to meet the low latency requirement;3rd year: Design power control of UAV using machine learning algorithm for increasing the transmission reliability in order to meet the ultra-reliable and low latency communications (URLLC) requirements;4th year: Develop flying aggregator and its optimal buffer design. Enabling techniques for mission-critical UAV applications over wireless communications networks will be proposed;5th year: Design delay-aware association and dynamic clustering for UAV-based Internet of Things (IoT) systems. To examine the feasibility, the proposed scheme will be implemented in our UAV testbed.Through this project, we will be able to build intelligent 5G-connected UAV communication systems in which we secure data transmissions, utilize radio resource efficiently, and optimize the network parameters. The practical research outcomes of this project can provide insightful findings which serve as the foundation for technical innovation toward upgrading the information and communications industry.