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Pseudo-Noise Code Shifting Signal for AI Arranged UAV Networking

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Abstract

Communication problems standout as the key issue needing to be addressed in Unmanned Aerial Vehicle (UAV) applications. Nowadays, the application of Artificial Intelligence (AI) technology provides a more flexible and effective organizing strategy for the UAV formation, but it also brings the challenges of transmission speed and access speed for the UAV networking technology.This highlights the importance of multi-access technology in UAV communication. Code Division Multiple Access (CDMA) is a suitable multi-access technology for UAV networking, but low spectrum utilization limits its application. In this study, we use a Pseudo-Noise (PN) code shifting modulation method to improve the spectrum utilization of CDMA signals, which makes it more suitable for UAV communication applications. Theoretical analysis and simulations show that the PN code shifting modulation strategy can effectively improve the information transmission rate of the system without affecting the processing gain and its multi-access capability.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China #61701072.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China

    Deyue Zou, Jie Liu, Xinyi Cheng, Jing Zhang, Yunfeng Liu & Shouchuan Ma

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  1. Deyue Zou
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Correspondence to Deyue Zou.

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Zou, D., Liu, J., Cheng, X. et al. Pseudo-Noise Code Shifting Signal for AI Arranged UAV Networking. Mobile Netw Appl 25, 1683–1693 (2020). https://doi.org/10.1007/s11036-020-01578-4

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