Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT
In cell-free massive multiple-input multiple-output (CF-mMIMO) system, unmanned aerial vehicles (UAV), serving as mobile access point (AP), are increasingly playing a significant role in both communication and task execution. To enhance the endurance of UAV during complex mission executions, the ene...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2024-09-01
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| Series: | 物联网学报 |
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| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00427/ |
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| _version_ | 1849774902472605696 |
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| author | WANG Qin NING Luohan ZHANG Yuxuan LIU Ying CAI Yan ZHAO Haitao |
| author_facet | WANG Qin NING Luohan ZHANG Yuxuan LIU Ying CAI Yan ZHAO Haitao |
| author_sort | WANG Qin |
| collection | DOAJ |
| description | In cell-free massive multiple-input multiple-output (CF-mMIMO) system, unmanned aerial vehicles (UAV), serving as mobile access point (AP), are increasingly playing a significant role in both communication and task execution. To enhance the endurance of UAV during complex mission executions, the energy transmission and trajectory design for UAV within a cell-free mMIMO system were explored, utilizing wireless power transmission (WPT) as the foundation. With a focus on maintaining communication fairness for users experiencing outages, energy consumption constraints as UAV receive power replenishments from access points throughout their missions were considered. Simultaneously, a joint optimization encompassing the UAV's flight trajectory, charging/discharging time slots, and beamforming configurations were conducted. To address this complex problem, an angle search-based communication-assisted deep Q-network (DQN) algorithm was proposed, facilitating a targeted spatial exploration. Simulation results demonstrate that, while balancing endurance and communication requirements, this algorithm significantly elevates the utilization rate of UAV and enhances communication fairness for interrupted user equipment (UE), ultimately achieving dynamic regional coverage. |
| format | Article |
| id | doaj-art-0703b1b6927e44a2a1a4b8eb00f510d4 |
| institution | DOAJ |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-0703b1b6927e44a2a1a4b8eb00f510d42025-08-20T03:01:35ZzhoChina InfoCom Media Group物联网学报2096-37502024-09-018263577121096Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPTWANG QinNING LuohanZHANG YuxuanLIU YingCAI YanZHAO HaitaoIn cell-free massive multiple-input multiple-output (CF-mMIMO) system, unmanned aerial vehicles (UAV), serving as mobile access point (AP), are increasingly playing a significant role in both communication and task execution. To enhance the endurance of UAV during complex mission executions, the energy transmission and trajectory design for UAV within a cell-free mMIMO system were explored, utilizing wireless power transmission (WPT) as the foundation. With a focus on maintaining communication fairness for users experiencing outages, energy consumption constraints as UAV receive power replenishments from access points throughout their missions were considered. Simultaneously, a joint optimization encompassing the UAV's flight trajectory, charging/discharging time slots, and beamforming configurations were conducted. To address this complex problem, an angle search-based communication-assisted deep Q-network (DQN) algorithm was proposed, facilitating a targeted spatial exploration. Simulation results demonstrate that, while balancing endurance and communication requirements, this algorithm significantly elevates the utilization rate of UAV and enhances communication fairness for interrupted user equipment (UE), ultimately achieving dynamic regional coverage.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00427/cell-free massive MIMO systemdynamic coverageunmanned aerial vehicletrajectory designwireless power transmission |
| spellingShingle | WANG Qin NING Luohan ZHANG Yuxuan LIU Ying CAI Yan ZHAO Haitao Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT 物联网学报 cell-free massive MIMO system dynamic coverage unmanned aerial vehicle trajectory design wireless power transmission |
| title | Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT |
| title_full | Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT |
| title_fullStr | Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT |
| title_full_unstemmed | Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT |
| title_short | Joint optimization method for UAV trajectory and charging/discharging in cell-free mMIMO system on WPT |
| title_sort | joint optimization method for uav trajectory and charging discharging in cell free mmimo system on wpt |
| topic | cell-free massive MIMO system dynamic coverage unmanned aerial vehicle trajectory design wireless power transmission |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00427/ |
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