Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting
In this work, we explore a multi-UAV-assisted wireless power transfer (WPT) network, where multiple UAVs are deployed to provide WPT services to multiple ground devices (GDs) in order to extend their lifespan. To enhance the WPT efficiency while considering fairness, we investigate the joint traject...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/7/6/354 |
| _version_ | 1797595283943587840 |
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| author | Xinran Wang Peng Wu Yulin Hu Xuan Cai Qinghua Song Hu Chen |
| author_facet | Xinran Wang Peng Wu Yulin Hu Xuan Cai Qinghua Song Hu Chen |
| author_sort | Xinran Wang |
| collection | DOAJ |
| description | In this work, we explore a multi-UAV-assisted wireless power transfer (WPT) network, where multiple UAVs are deployed to provide WPT services to multiple ground devices (GDs) in order to extend their lifespan. To enhance the WPT efficiency while considering fairness, we investigate the joint trajectories and transmit power design. For fairness-aware consideration, our objective is to maximize the harvested energy of the GD with the worst condition, taking into account UAV mobility, anti-collision, and power budget constraints. Unlike previous works that focus on the simplified linear energy harvesting (EH) model, a more accurate multi-source nonlinear EH model is, for the first time, adopted to formulate the problem. Given the highly non-convex nature of the original problem due to the presence of coupled variables, we leverage the convexity of the multi-source nonlinear EH model and introduce a convex approximation method, which enables us to construct a tightly convex problem in each iteration for the original joint design problem, thereby obtaining a high-quality solution. Finally, we present numerical results to showcase the convergence of our algorithm and validate the performance advantages of the proposed multi-UAV WPT scheme with a nonlinear EH model versus benchmarks. |
| first_indexed | 2024-03-11T02:34:02Z |
| format | Article |
| id | doaj.art-c8f4e5411d48423788ef4e886b63370d |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-11T02:34:02Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-c8f4e5411d48423788ef4e886b63370d2023-11-18T10:03:55ZengMDPI AGDrones2504-446X2023-05-017635410.3390/drones7060354Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy HarvestingXinran Wang0Peng Wu1Yulin Hu2Xuan Cai3Qinghua Song4Hu Chen5School of Electronic Information, Wuhan University, Wuhan 430072, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaWuhan Second Ship Design and Research Institute, Wuhan 430064, ChinaWuhan Second Ship Design and Research Institute, Wuhan 430064, ChinaWuhan Second Ship Design and Research Institute, Wuhan 430064, ChinaIn this work, we explore a multi-UAV-assisted wireless power transfer (WPT) network, where multiple UAVs are deployed to provide WPT services to multiple ground devices (GDs) in order to extend their lifespan. To enhance the WPT efficiency while considering fairness, we investigate the joint trajectories and transmit power design. For fairness-aware consideration, our objective is to maximize the harvested energy of the GD with the worst condition, taking into account UAV mobility, anti-collision, and power budget constraints. Unlike previous works that focus on the simplified linear energy harvesting (EH) model, a more accurate multi-source nonlinear EH model is, for the first time, adopted to formulate the problem. Given the highly non-convex nature of the original problem due to the presence of coupled variables, we leverage the convexity of the multi-source nonlinear EH model and introduce a convex approximation method, which enables us to construct a tightly convex problem in each iteration for the original joint design problem, thereby obtaining a high-quality solution. Finally, we present numerical results to showcase the convergence of our algorithm and validate the performance advantages of the proposed multi-UAV WPT scheme with a nonlinear EH model versus benchmarks.https://www.mdpi.com/2504-446X/7/6/354unmanned aerial vehicle (UAV)wireless power transfer (WPT)trajectory designresource allocation |
| spellingShingle | Xinran Wang Peng Wu Yulin Hu Xuan Cai Qinghua Song Hu Chen Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting Drones unmanned aerial vehicle (UAV) wireless power transfer (WPT) trajectory design resource allocation |
| title | Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting |
| title_full | Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting |
| title_fullStr | Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting |
| title_full_unstemmed | Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting |
| title_short | Joint Trajectories and Resource Allocation Design for Multi-UAV-Assisted Wireless Power Transfer with Nonlinear Energy Harvesting |
| title_sort | joint trajectories and resource allocation design for multi uav assisted wireless power transfer with nonlinear energy harvesting |
| topic | unmanned aerial vehicle (UAV) wireless power transfer (WPT) trajectory design resource allocation |
| url | https://www.mdpi.com/2504-446X/7/6/354 |
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