Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G

UAVs can be deployed in many scenarios to provide various types of services via 6G edge communication. In these scenarios, it is necessary to obtain the position of the UAVs in a timely and accurate manner to avoid UAV collisions. In this paper, we consider improved passive localization algorithms a...

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Main Authors: Hu, Yue, Jiang, Yunzhe, Liu, Yinqiu, He, Xiaoming
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/174006
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1740062024-03-15T15:36:10Z Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G Hu, Yue Jiang, Yunzhe Liu, Yinqiu He, Xiaoming School of Computer Science and Engineering Computer and Information Science Autonomous control system Passive positioning UAVs can be deployed in many scenarios to provide various types of services via 6G edge communication. In these scenarios, it is necessary to obtain the position of the UAVs in a timely and accurate manner to avoid UAV collisions. In this paper, we consider improved passive localization algorithms aimed at reducing convergence time and adapting to extreme conditions. For the sake of reducing the complexity of signals and ensuring the reliability of receiving processes, we reconsidered the angle between arrival signals as the feature in positioning. Then, according to the characteristics of the positioning process, we draw on the cyclical process of the iterative greedy algorithm to construct the coding, destruction, and reorganization process to guide the movement of the UAV. Moreover, an improved Metropolis criterion is added to prevent falling into the local optimal solution. Finally, the proposed algorithm is verified in the simulation results. The results show that the algorithm can achieve precise positioning and excellent track planning within a small number of iterations, and it reduces the amount of information carried by the signal and convergence time compared with the traditional method. Published version This work is supported by National Natural Science Foundation of China under Grant No. 62271190. 2024-03-11T07:55:08Z 2024-03-11T07:55:08Z 2023 Journal Article Hu, Y., Jiang, Y., Liu, Y. & He, X. (2023). Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G. Applied Sciences, 13(19), 11014-. https://dx.doi.org/10.3390/app131911014 2076-3417 https://hdl.handle.net/10356/174006 10.3390/app131911014 2-s2.0-85174161855 19 13 11014 en Applied Sciences © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Autonomous control system
Passive positioning
spellingShingle Computer and Information Science
Autonomous control system
Passive positioning
Hu, Yue
Jiang, Yunzhe
Liu, Yinqiu
He, Xiaoming
Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G
description UAVs can be deployed in many scenarios to provide various types of services via 6G edge communication. In these scenarios, it is necessary to obtain the position of the UAVs in a timely and accurate manner to avoid UAV collisions. In this paper, we consider improved passive localization algorithms aimed at reducing convergence time and adapting to extreme conditions. For the sake of reducing the complexity of signals and ensuring the reliability of receiving processes, we reconsidered the angle between arrival signals as the feature in positioning. Then, according to the characteristics of the positioning process, we draw on the cyclical process of the iterative greedy algorithm to construct the coding, destruction, and reorganization process to guide the movement of the UAV. Moreover, an improved Metropolis criterion is added to prevent falling into the local optimal solution. Finally, the proposed algorithm is verified in the simulation results. The results show that the algorithm can achieve precise positioning and excellent track planning within a small number of iterations, and it reduces the amount of information carried by the signal and convergence time compared with the traditional method.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Hu, Yue
Jiang, Yunzhe
Liu, Yinqiu
He, Xiaoming
format Article
author Hu, Yue
Jiang, Yunzhe
Liu, Yinqiu
He, Xiaoming
author_sort Hu, Yue
title Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G
title_short Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G
title_full Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G
title_fullStr Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G
title_full_unstemmed Autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6G
title_sort autonomous control system with passive positioning for unmanned-aerial-vehicle-assisted edge communication in 6g
publishDate 2024
url https://hdl.handle.net/10356/174006
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