Nan Qi

Title: Innovations of Inventor Nan Qi

Introduction

Nan Qi is a prominent inventor based in Nanjing, China. He has made significant contributions to the fields of intelligent systems and unmanned aerial vehicles (UAVs). With a total of two patents to his name, his work focuses on enhancing communication and operational efficiency in complex environments.

Latest Patents

Nan Qi's latest patents include a "Joint link-level and network-level intelligent system and method for dynamic spectrum anti-jamming." This innovative system comprises a link-level anti-jamming subsystem and a network-level anti-jamming subsystem. The link-level subsystem sets a reward value based on system transmission throughput, allowing users to make intelligent frequency usage decisions to avoid jamming. The network-level subsystem manages frequency band allocation for lower-level sub-users, enhancing the overall anti-jamming capability of the system.

Another notable patent is the "Unmanned aerial vehicle (UAV) task cooperation method based on overlapping coalition formation (OCF) game." This method constructs a sequential OCF game model to address multi-task cooperation among UAVs. It utilizes a bilateral mutual benefit transfer order to evaluate UAV preferences for coalitional structures. The method optimizes task resource allocation and transmission strategies to maximize the utility of UAV networks.

Career Highlights

Nan Qi is affiliated with the Nanjing University of Aeronautics and Astronautics, where he contributes to research and development in aeronautics and astronautics. His work has garnered attention for its innovative approaches to complex problems in communication and resource management.

Collaborations

Nan Qi collaborates with esteemed colleagues, including Diliao Ye and Luliang Jia. Their combined expertise enhances the research output and innovation potential within their projects.

Conclusion

Nan Qi's contributions to the fields of intelligent systems and UAVs demonstrate his commitment to advancing technology. His innovative patents reflect a deep understanding of complex systems and a drive to improve operational efficiency.