Pseudo-Noise Code Shifting Signal for AI Arranged UAV Networking
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Pseudo-Noise Code Shifting Signal for AI Arranged UAV Networking Deyue Zou1
· Jie Liu1 · Xinyi Cheng1 · Jing Zhang1 · Yunfeng Liu1 · Shouchuan Ma1
© Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords UAV communication · CDMA · Multi-access technology · Artificial intelligence
1 Introduction UAVs now play important roles in many fields. The aerial view provided by UAVs makes earth observation convenient and renders drones useful in disaster prevention [1, 2]. Furthermore, UAVs play significant roles in agriculture [3], transportation [4], national defense [5], and other fields [6]. The most common application of UAV systems is in communication [7]. Communication is not only the key component of UAV controlling systems, making UAVs possible, but also the most common payload of UAVs. Currently, UAV systems are transitioning from a pointto-point communication system that only communicates between the ground station and one aircraft to a networked system [8–12]. Networked communication technology has made UAV formation technology [13], UAV relay technology [14–17] and UAV-to-ground communication [18] a reality. From a narrow perspective, UAV formations allow UAVs to accomplish some challenging functions. More broadly, formation flying effectively improves coverage [19] and guarantees the throughput [20] of UAV communication systems.
Deyue Zou
[email protected] 1
School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China
Moreover, the UAV flies in a totaly freed 3-D space, which brings great flexibility and dynamic for the UAV formations. It can be expected, in some complex scenarios, UAV formations may moving and changing during the mission, controlled by AI and positioning technologies [21–23]. This means the handover process happens very frequently in the inter UAV links, and the access process should be reliable and fast [24]. Furthermore, the transmission speed should be fast too, because the survival time of eac
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