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Cell free satellite-UAV networks for 6G wide-area Internet of Things
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Liu, C., Feng, W., Chen, Yunfei, Wang, C -X. and Ge, N. (2021) Cell free satellite-UAV networks for 6G wide-area Internet of Things. IEEE Journal on Selected Areas in Communications, 39 (4). pp. 1116-1131. doi:10.1109/JSAC.2020.3018837 ISSN 0733-8716.
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WRAP-Non-cellular-satellite-UAV-networks-Chen-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1353Kb) | Preview |
Official URL: https://doi.org/10.1109/JSAC.2020.3018837
Abstract
In fifth generation (5G) and beyond Internet of Things (IoT), it becomes increasingly important to serve a massive number of IoT devices outside the coverage of terrestrial cellular networks. Due to their own limitations, unmanned aerial vehicles (UAVs) and satellites need to coordinate with each other in the coverage holes of 5G, leading to a cognitive satellite-UAV network (CSUN). In this paper, we investigate multi-domain resource allocation for CSUNs consisting of a satellite and a swarm of UAVs, so as to improve the efficiency of massive access in wide areas. Particularly, the cell-free on-demand coverage is established to overcome the cost-ineffectiveness of conventional cellular architecture. Opportunistic spectrum sharing is also implemented to cope with the spectrum scarcity problem. To this end, a process-oriented optimization framework is proposed for jointly allocating subchannels, transmit power and hovering times, which considers the whole flight process of UAVs and uses only the slowly-varying large-scale channel state information (CSI). Under the on-board energy constraints of UAVs and interference temperature constraints from UAV swarm to satellite users, we present iterative multi-domain resource allocation algorithms to improve network efficiency with guaranteed user fairness. Simulation results demonstrate the superiority of the proposed algorithms. Moreover, the adaptive cell-free coverage pattern is observed, which implies a promising way to efficiently serve wide-area IoT devices in the upcoming sixth generation (6G) era.
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): | Internet of things , Drone aircraft, Artificial satellites in telecommunication, Wireless communication systems, Cell phone systems | ||||||||
Journal or Publication Title: | IEEE Journal on Selected Areas in Communications | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 0733-8716 | ||||||||
Official Date: | April 2021 | ||||||||
Dates: |
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Volume: | 39 | ||||||||
Number: | 4 | ||||||||
Page Range: | pp. 1116-1131 | ||||||||
DOI: | 10.1109/JSAC.2020.3018837 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2020 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 July 2020 | ||||||||
Date of first compliant Open Access: | 31 July 2020 | ||||||||
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