Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security
Low-altitude cellular-enabled Unmanned Aerial Vehicles (UAVs) provide potential supplementary platforms to assist air-to-ground cooperative communication. This paper investigates a joint safety information interaction scheme for a UAV-enabled network, which involves the complex constraints of three-...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/9/2/50 |
| _version_ | 1827658115417374720 |
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| author | Ziwei Yuan Yanping Yang Dong Wang Xiaoping Ma |
| author_facet | Ziwei Yuan Yanping Yang Dong Wang Xiaoping Ma |
| author_sort | Ziwei Yuan |
| collection | DOAJ |
| description | Low-altitude cellular-enabled Unmanned Aerial Vehicles (UAVs) provide potential supplementary platforms to assist air-to-ground cooperative communication. This paper investigates a joint safety information interaction scheme for a UAV-enabled network, which involves the complex constraints of three-dimensional trajectory planning, average energy efficiency optimization, and physical-layer security. Specifically, by modeling the UAV and the Ground Station (GS) as the transmit sources, we define the secure Energy Efficiency (EE) as the ratio of the total secrecy rate to the energy consumption of the whole system. Then, to achieve secure and energy-efficient communication in eavesdropping scenarios, we formulated the optimization problem as maximizing both the uplink/downlink secure EE of the system, subject to the constraints of the UAV’s mobility and the allowable transmit power. For this highly coupled non-convex problem, a composite solution of joint fractional programming, alternate optimization, the bisection method, and the interior-point method is proposed to obtain the achievable EE. Simulation and performance analysis gave the conclusions that the joint optimization of trajectory and power allocation is capable of maximizing the information secure EE. Additionally, the secure EE increases with the increase of the average transmit power, which finally tends to be stable. |
| first_indexed | 2024-03-09T22:54:21Z |
| format | Article |
| id | doaj.art-95e637e7361142da84daf49822cd0e22 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-09T22:54:21Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-95e637e7361142da84daf49822cd0e222023-11-23T18:13:51ZengMDPI AGAerospace2226-43102022-01-01925010.3390/aerospace9020050Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer SecurityZiwei Yuan0Yanping Yang1Dong Wang2Xiaoping Ma3Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaInstitute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaArmy Academy of Artillery and Air Defense, Hefei 230031, ChinaInstitute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaLow-altitude cellular-enabled Unmanned Aerial Vehicles (UAVs) provide potential supplementary platforms to assist air-to-ground cooperative communication. This paper investigates a joint safety information interaction scheme for a UAV-enabled network, which involves the complex constraints of three-dimensional trajectory planning, average energy efficiency optimization, and physical-layer security. Specifically, by modeling the UAV and the Ground Station (GS) as the transmit sources, we define the secure Energy Efficiency (EE) as the ratio of the total secrecy rate to the energy consumption of the whole system. Then, to achieve secure and energy-efficient communication in eavesdropping scenarios, we formulated the optimization problem as maximizing both the uplink/downlink secure EE of the system, subject to the constraints of the UAV’s mobility and the allowable transmit power. For this highly coupled non-convex problem, a composite solution of joint fractional programming, alternate optimization, the bisection method, and the interior-point method is proposed to obtain the achievable EE. Simulation and performance analysis gave the conclusions that the joint optimization of trajectory and power allocation is capable of maximizing the information secure EE. Additionally, the secure EE increases with the increase of the average transmit power, which finally tends to be stable.https://www.mdpi.com/2226-4310/9/2/50UAV communication networkphysical-layer securitytrajectory planningenergy efficientconvex optimization |
| spellingShingle | Ziwei Yuan Yanping Yang Dong Wang Xiaoping Ma Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security Aerospace UAV communication network physical-layer security trajectory planning energy efficient convex optimization |
| title | Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security |
| title_full | Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security |
| title_fullStr | Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security |
| title_full_unstemmed | Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security |
| title_short | Energy-Efficient Trajectory Optimization for UAV-Enabled Cellular Communications Based on Physical-Layer Security |
| title_sort | energy efficient trajectory optimization for uav enabled cellular communications based on physical layer security |
| topic | UAV communication network physical-layer security trajectory planning energy efficient convex optimization |
| url | https://www.mdpi.com/2226-4310/9/2/50 |
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