Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems
Communication and networking with unmanned aerial vehicles (UAVs) has attracted increasing attention due to their boundless applications in photography, agriculture, surveillance, and numerous public services. Employing the UAV as a mobile relay is promising to boost the coverage and capacity of the...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8424340/ |
| _version_ | 1818415334290358272 |
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| author | Zhen Xue Jinlong Wang Guoru Ding Qihui Wu |
| author_facet | Zhen Xue Jinlong Wang Guoru Ding Qihui Wu |
| author_sort | Zhen Xue |
| collection | DOAJ |
| description | Communication and networking with unmanned aerial vehicles (UAVs) has attracted increasing attention due to their boundless applications in photography, agriculture, surveillance, and numerous public services. Employing the UAV as a mobile relay is promising to boost the coverage and capacity of the network and shows many advantages over conventional communication networks. In this paper, we investigate joint 3D location and transmit power optimization of the UAV to accommodate the relaying network with multiple mobile users. The objective is to maximize the sum rate of all the mobile users, subjects to the constraints on line-of-sight connectivity for communication links, information-causality constraint, as well as the strict data rate fairness requirement of all users. However, this challenging problem has non-convex objective function, complicated constraints, and strongly coupled variables. To address this problem, we first prove that the optimal solution to the original sum rate maximization problem can be obtained by equivalently solving a more tractable problem. Then, we develop an efficient algorithm by leveraging the alternating descent framework and successive convex approximation method. Next, we show that the proposed algorithm iteratively improves the objective function and is guaranteed to converge within a finite number of iterations. Furthermore, simulation results demonstrate the effectiveness of the proposed algorithm and reveal the impacts of various parameter configurations on the system performance. |
| first_indexed | 2024-12-14T11:33:20Z |
| format | Article |
| id | doaj.art-be7c7955f6cd4d939ca5553229681c43 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:33:20Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-be7c7955f6cd4d939ca5553229681c432022-12-21T23:03:10ZengIEEEIEEE Access2169-35362018-01-016431134312410.1109/ACCESS.2018.28623858424340Joint 3D Location and Power Optimization for UAV-Enabled Relaying SystemsZhen Xue0Jinlong Wang1Guoru Ding2https://orcid.org/0000-0003-1780-2547Qihui Wu3https://orcid.org/0000-0001-6796-8364College of Communications Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communications Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Communications Engineering, Army Engineering University of PLA, Nanjing, ChinaCollege of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCommunication and networking with unmanned aerial vehicles (UAVs) has attracted increasing attention due to their boundless applications in photography, agriculture, surveillance, and numerous public services. Employing the UAV as a mobile relay is promising to boost the coverage and capacity of the network and shows many advantages over conventional communication networks. In this paper, we investigate joint 3D location and transmit power optimization of the UAV to accommodate the relaying network with multiple mobile users. The objective is to maximize the sum rate of all the mobile users, subjects to the constraints on line-of-sight connectivity for communication links, information-causality constraint, as well as the strict data rate fairness requirement of all users. However, this challenging problem has non-convex objective function, complicated constraints, and strongly coupled variables. To address this problem, we first prove that the optimal solution to the original sum rate maximization problem can be obtained by equivalently solving a more tractable problem. Then, we develop an efficient algorithm by leveraging the alternating descent framework and successive convex approximation method. Next, we show that the proposed algorithm iteratively improves the objective function and is guaranteed to converge within a finite number of iterations. Furthermore, simulation results demonstrate the effectiveness of the proposed algorithm and reveal the impacts of various parameter configurations on the system performance.https://ieeexplore.ieee.org/document/8424340/Unmanned aerial vehicle (UAV) communicationrelay3D location optimizationpower control |
| spellingShingle | Zhen Xue Jinlong Wang Guoru Ding Qihui Wu Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems IEEE Access Unmanned aerial vehicle (UAV) communication relay 3D location optimization power control |
| title | Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems |
| title_full | Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems |
| title_fullStr | Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems |
| title_full_unstemmed | Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems |
| title_short | Joint 3D Location and Power Optimization for UAV-Enabled Relaying Systems |
| title_sort | joint 3d location and power optimization for uav enabled relaying systems |
| topic | Unmanned aerial vehicle (UAV) communication relay 3D location optimization power control |
| url | https://ieeexplore.ieee.org/document/8424340/ |
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