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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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 |
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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 |
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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. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Hu, Yue Jiang, Yunzhe Liu, Yinqiu He, Xiaoming |
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Article |
author |
Hu, Yue Jiang, Yunzhe Liu, Yinqiu He, Xiaoming |
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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 |
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2024 |
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https://hdl.handle.net/10356/174006 |
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