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Erschienen in: Mobile Networks and Applications 5/2020

16.06.2020

Pseudo-Noise Code Shifting Signal for AI Arranged UAV Networking

verfasst von: Deyue Zou, Jie Liu, Xinyi Cheng, Jing Zhang, Yunfeng Liu, Shouchuan Ma

Erschienen in: Mobile Networks and Applications | Ausgabe 5/2020

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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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Metadaten
Titel
Pseudo-Noise Code Shifting Signal for AI Arranged UAV Networking
verfasst von
Deyue Zou
Jie Liu
Xinyi Cheng
Jing Zhang
Yunfeng Liu
Shouchuan Ma
Publikationsdatum
16.06.2020
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 5/2020
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-020-01578-4

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