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NOMA-based hybrid satellite-UAV-terrestrial networks for 6G maritime coverage
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Fang, Xinran, Feng, Wei, Wang, Yanming, Chen, Yunfei, Ge, Ning, Ding, Zhiguo and Zhu, Hongbo (2022) NOMA-based hybrid satellite-UAV-terrestrial networks for 6G maritime coverage. IEEE Transactions on Wireless Communications . ISSN 1536-1276. (In Press)
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WRAP-NOMA-based-hybrid-satellite-UAV-terrestrial-networks-6G-maritime-coverage-Chen-2022.pdf - Accepted Version - Requires a PDF viewer. Download (4036Kb) | Preview |
Abstract
Current fifth-generation (5G) networks do not cover maritime areas, causing difficulties in developing maritime Internet of Things (IoT). To tackle this problem, we establish a nearshore network by collaboratively using on-shore terrestrial base stations (TBSs) and tethered unmanned aerial vehicles (UAVs). These TBSs and UAVs form virtual clusters in a usercentric manner. Within each virtual cluster, non-orthogonal multiple access (NOMA) is adopted for agilely including various maritime IoT devices, which are sparsely distributed over the vast ocean. The nearshore network also shares the spectrum with marine satellites. In such a NOMA-based hybrid satellite- UAV-terrestrial network, interference among different network segments, different clusters, and different users occurs. We thereby formulate a joint power allocation problem to maximize the sum rate of the network. Different from existing studies, we use large-scale channel state information (CSI) only for optimization to reduce system overhead. The large-scale CSI is obtained by using the position information of maritime IoT devices. The problem is non-convex with intractable non-linear constraints. We tackle these difficulties by adopting max-min optimization, the auxiliary function method, and the successive convex approximation technique. An iterative power allocation algorithm is accordingly proposed, which is shown to be effective for coverage enhancement by simulations. This shows the potential of NOMA-based hybrid satellite-UAV-terrestrial networks for maritime on-demand coverage.
| 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): | Wireless communication systems, Artificial satellites in telecommunication, Mobile communication systems, Artificial satellites in navigation , Drone aircraft , 5G mobile communication systems, Aeronautics -- Communication systems, Orthogonal frequency division multiplexing | ||||||||||||||||||
| Journal or Publication Title: | IEEE Transactions on Wireless Communications | ||||||||||||||||||
| Publisher: | IEEE | ||||||||||||||||||
| ISSN: | 1536-1276 | ||||||||||||||||||
| Official Date: | 2022 | ||||||||||||||||||
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| Status: | Peer Reviewed | ||||||||||||||||||
| Publication Status: | In Press | ||||||||||||||||||
| Reuse Statement (publisher, data, author rights): | © 2022 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: | 19 July 2022 | ||||||||||||||||||
| Date of first compliant Open Access: | 21 July 2022 | ||||||||||||||||||
| RIOXX Funder/Project Grant: |
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