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Time allocation and optimization in UAV-enabled wireless powered communication networks
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Yan, Hua, Chen, Yunfei and Yang, S. (2022) Time allocation and optimization in UAV-enabled wireless powered communication networks. IEEE Transactions on Green Communications and Networking, 6 (2). pp. 951-964. doi:10.1109/TGCN.2021.3117312 ISSN 2473-2400.
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WRAP-time-allocation-optimization-UAV-enabled-wireless-powered-communication-networks-Chen-2021.pdf - Accepted Version - Requires a PDF viewer. Download (847Kb) | Preview |
Official URL: https://doi.org/10.1109/TGCN.2021.3117312
Abstract
Unmanned aerial vehicles (UAVs) have attracted great research attention due to their flexibility. In this paper, the use of UAVs in wireless sensor networks as an energy transmitter and a data collector is investigated. The UAV is first charged from a charging station, such as a base station (BS), before it flies to the sensors for data collection. Upon arrival, the UAV first charges the sensors via wireless power transfer (WPT) in the downlink, followed by data transmission from the sensors in the uplink. After that, the UAV flies back to the BS to offload data to the BS. We aim to maximize the amount of data offloaded to the BS by allocating optimal time slots to different tasks in this process, given a fixed total time. The maximization is solved in two steps as two convex optimization problems. In the first step, the time allocation between WPT to sensors and data collection from sensors is optimized. In the second step, the time allocation of BS charging, the total time in the first step, and BS data offloading is optimized. Unlike the previous works, our study takes into account the charging process from the BS to the UAV, the propulsion consumption at the UAV and the data offloading process to the BS. Both distance-dependent path loss and small-scale fading are considered. Numerical results show that the optimal time allocation can maximize the amount of data at the BS without wasting any time and energy.
| Item Type: | Journal Article | |||||||||||||||
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Drone aircraft , Wireless sensor networks , Wireless sensor networks -- Power supply , Wireless power transmission | |||||||||||||||
| Journal or Publication Title: | IEEE Transactions on Green Communications and Networking | |||||||||||||||
| Publisher: | IEEE | |||||||||||||||
| ISSN: | 2473-2400 | |||||||||||||||
| Official Date: | June 2022 | |||||||||||||||
| Dates: |
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| Volume: | 6 | |||||||||||||||
| Number: | 2 | |||||||||||||||
| Page Range: | pp. 951-964 | |||||||||||||||
| DOI: | 10.1109/TGCN.2021.3117312 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Reuse Statement (publisher, data, author rights): | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
| Date of first compliant deposit: | 29 September 2021 | |||||||||||||||
| Date of first compliant Open Access: | 1 October 2021 | |||||||||||||||
| RIOXX Funder/Project Grant: |
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