Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks
Wireless powered communication networks are promising in the next generation wireless communication systems since they can prolong the communication time of users. However, the wireless powered performance is limited due to the low energy harvesting efficiency caused by channel fading. In order to t...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8932410/ |
| _version_ | 1817992897072463872 |
|---|---|
| author | Zhen Wang Wenjun Xu Dingcheng Yang Jiaru Lin |
| author_facet | Zhen Wang Wenjun Xu Dingcheng Yang Jiaru Lin |
| author_sort | Zhen Wang |
| collection | DOAJ |
| description | Wireless powered communication networks are promising in the next generation wireless communication systems since they can prolong the communication time of users. However, the wireless powered performance is limited due to the low energy harvesting efficiency caused by channel fading. In order to tackle this issue, rotary-wing unmanned aerial vehicle (UAV) enabled wireless powered communication network (WPCN) is first proposed to provide energy harvesting and information transmission to multiple ground users. Then, the energy consumption minimization problem for the UAV-enabled WPCN is formulated subject to the speed, initial and final positions of the UAV, the energy harvesting causality and user scheduling constraints. Finally, an efficient algorithm by employing the path discretization and successive convex approximation techniques is proposed to solve the challenging non-convex problem. Simulation results show that our proposed scheme can efficiently balance the energy harvesting phase and transmission phase based on the optimal trajectory design, moreover, it outperforms other benchmark schemes in terms of the energy consumption. |
| first_indexed | 2024-04-14T01:33:09Z |
| format | Article |
| id | doaj.art-cdc81cfc1a45452c9b10953838f4551d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-14T01:33:09Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cdc81cfc1a45452c9b10953838f4551d2022-12-22T02:20:06ZengIEEEIEEE Access2169-35362019-01-01718136918138010.1109/ACCESS.2019.29596378932410Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication NetworksZhen Wang0https://orcid.org/0000-0001-9447-2604Wenjun Xu1https://orcid.org/0000-0002-0369-1615Dingcheng Yang2https://orcid.org/0000-0001-5313-4481Jiaru Lin3https://orcid.org/0000-0001-6593-4419Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaKey Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaInformation Engineering School, Nanchang University, Nanchang, ChinaKey Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaWireless powered communication networks are promising in the next generation wireless communication systems since they can prolong the communication time of users. However, the wireless powered performance is limited due to the low energy harvesting efficiency caused by channel fading. In order to tackle this issue, rotary-wing unmanned aerial vehicle (UAV) enabled wireless powered communication network (WPCN) is first proposed to provide energy harvesting and information transmission to multiple ground users. Then, the energy consumption minimization problem for the UAV-enabled WPCN is formulated subject to the speed, initial and final positions of the UAV, the energy harvesting causality and user scheduling constraints. Finally, an efficient algorithm by employing the path discretization and successive convex approximation techniques is proposed to solve the challenging non-convex problem. Simulation results show that our proposed scheme can efficiently balance the energy harvesting phase and transmission phase based on the optimal trajectory design, moreover, it outperforms other benchmark schemes in terms of the energy consumption.https://ieeexplore.ieee.org/document/8932410/UAV communicationenergy minimizationrotary-wing UAVwireless powered communication networkspath discretization |
| spellingShingle | Zhen Wang Wenjun Xu Dingcheng Yang Jiaru Lin Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks IEEE Access UAV communication energy minimization rotary-wing UAV wireless powered communication networks path discretization |
| title | Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks |
| title_full | Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks |
| title_fullStr | Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks |
| title_full_unstemmed | Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks |
| title_short | Joint Trajectory Optimization and User Scheduling for Rotary-Wing UAV-Enabled Wireless Powered Communication Networks |
| title_sort | joint trajectory optimization and user scheduling for rotary wing uav enabled wireless powered communication networks |
| topic | UAV communication energy minimization rotary-wing UAV wireless powered communication networks path discretization |
| url | https://ieeexplore.ieee.org/document/8932410/ |
| work_keys_str_mv | AT zhenwang jointtrajectoryoptimizationanduserschedulingforrotarywinguavenabledwirelesspoweredcommunicationnetworks AT wenjunxu jointtrajectoryoptimizationanduserschedulingforrotarywinguavenabledwirelesspoweredcommunicationnetworks AT dingchengyang jointtrajectoryoptimizationanduserschedulingforrotarywinguavenabledwirelesspoweredcommunicationnetworks AT jiarulin jointtrajectoryoptimizationanduserschedulingforrotarywinguavenabledwirelesspoweredcommunicationnetworks |