Efficiency Maximization for UAV-Enabled Mobile Relaying Systems With Laser Charging
This work studies the joint problem of power and trajectory optimization in a rotary-wing unmanned aerial vehicle (UAV)-enabled mobile relaying system. In the considered system, in order to provide convenient and sustainable energy supply to the UAV relay, we consider the deployment of a power beaco...
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| Published in | IEEE transactions on wireless communications Vol. 19; no. 5; pp. 3257 - 3272 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.05.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This work studies the joint problem of power and trajectory optimization in a rotary-wing unmanned aerial vehicle (UAV)-enabled mobile relaying system. In the considered system, in order to provide convenient and sustainable energy supply to the UAV relay, we consider the deployment of a power beacon (PB) which can wirelessly charge the UAV and it is realized by a properly designed laser charging system. To this end, we propose an efficiency (the weighted sum of the energy efficiency during information transmission and wireless power transmission efficiency) maximization problem by optimizing the source/UAV/PB transmit powers along with the UAV's trajectory. This optimization problem is also subject to practical mobility constraints, as well as the information-causality constraint and energy-causality constraint at the UAV. Different from the commonly used alternating optimization (AO) algorithm, two joint design algorithms, namely: the concave-convex procedure (CCCP) and penalty dual decomposition (PDD)-based algorithms, are presented to address the resulting non-convex problem, which features complex objective function with multiple-ratio terms and coupling constraints. These two very different algorithms are both able to achieve a stationary solution of the original efficiency maximization problem. Simulation results validate the effectiveness of the proposed algorithms. |
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| AbstractList | This work studies the joint problem of power and trajectory optimization in a rotary-wing unmanned aerial vehicle (UAV)-enabled mobile relaying system. In the considered system, in order to provide convenient and sustainable energy supply to the UAV relay, we consider the deployment of a power beacon (PB) which can wirelessly charge the UAV and it is realized by a properly designed laser charging system. To this end, we propose an efficiency (the weighted sum of the energy efficiency during information transmission and wireless power transmission efficiency) maximization problem by optimizing the source/UAV/PB transmit powers along with the UAV's trajectory. This optimization problem is also subject to practical mobility constraints, as well as the information-causality constraint and energy-causality constraint at the UAV. Different from the commonly used alternating optimization (AO) algorithm, two joint design algorithms, namely: the concave-convex procedure (CCCP) and penalty dual decomposition (PDD)-based algorithms, are presented to address the resulting non-convex problem, which features complex objective function with multiple-ratio terms and coupling constraints. These two very different algorithms are both able to achieve a stationary solution of the original efficiency maximization problem. Simulation results validate the effectiveness of the proposed algorithms. |
| Author | Shi, Qingjiang Zhao, Ming-Min Zhao, Min-Jian |
| Author_xml | – sequence: 1 givenname: Ming-Min orcidid: 0000-0002-3020-2434 surname: Zhao fullname: Zhao, Ming-Min email: zmmblack@zju.edu.cn organization: College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China – sequence: 2 givenname: Qingjiang orcidid: 0000-0003-0507-9080 surname: Shi fullname: Shi, Qingjiang email: shiqj@tongji.edu.cn organization: School of Software Engineering, Tongji University, Shanghai, China – sequence: 3 givenname: Min-Jian surname: Zhao fullname: Zhao, Min-Jian email: mjzhao@zju.edu.cn organization: College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China |
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| Snippet | This work studies the joint problem of power and trajectory optimization in a rotary-wing unmanned aerial vehicle (UAV)-enabled mobile relaying system. In the... |
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| SubjectTerms | Algorithms Approximation algorithms Charging Computer simulation Design optimization Efficiency Maximization Mobile relaying Optimization Power lasers Relaying Relays Trajectory trajectory and power optimization Trajectory optimization Transmission efficiency UAV communication Unmanned aerial vehicles Wireless communication wireless power transfer Wireless power transmission |
| Title | Efficiency Maximization for UAV-Enabled Mobile Relaying Systems With Laser Charging |
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