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UAV-Aided MIMO communications for 5G Internet of Things
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Feng, Wei, Wang, Jingchao, Chen, Yunfei, Wang, Xuanxuan, Ge, Ning and Lu, Juanhua (2019) UAV-Aided MIMO communications for 5G Internet of Things. IEEE Internet of Things Journal, 6 (2). pp. 1731-1740. doi:10.1109/JIOT.2018.2874531 ISSN 2327-4662.
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WRAP-UAV-Aided-MIMO-communications-Internet-Things-Chen-2018.pdf - Accepted Version - Requires a PDF viewer. Download (1391Kb) | Preview |
Official URL: https://doi.org/10.1109/JIOT.2018.2874531
Abstract
The unmanned aerial vehicle (UAV) is a promising enabler of the Internet of Things (IoT) vision, due to its agile maneuverability. In this paper, we explore the potential gain of UAV-aided data collection in a generalized IoT scenario. Particularly, a composite channel model including both large-scale and small-scale fading is used to depict typical propagation environments. Moreover, rigorous energy constraints are considered to characterize IoT devices as practically as possible. A multi-antenna UAV is employed, which can communicate with a cluster of single-antenna IoT devices to form a virtual MIMO link. We formulate a whole-trajectory-oriented optimization problem, where the transmission duration and the transmit power of all devices are jointly designed to maximize the data collection efficiency for the whole flight. Different from previous studies, only the slowly-varying large-scale channel state information (CSI) is assumed available, to coincide with the fact that practically it is quite difficult to predictively acquire the random small-scale channel fading prior to the UAV flight. We propose an iterative scheme to overcome the non-convexity of the formulated problem. The presented scheme can provide a significant performance gain over traditional schemes and converges quickly.
| Item Type: | Journal Article | ||||||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| Journal or Publication Title: | IEEE Internet of Things Journal | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 2327-4662 | ||||||||
| Official Date: | April 2019 | ||||||||
| Dates: |
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| Volume: | 6 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 1731-1740 | ||||||||
| DOI: | 10.1109/JIOT.2018.2874531 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | © 2018 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: | 1 October 2018 | ||||||||
| Date of first compliant Open Access: | 1 October 2018 |
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