Hu, T., Wang, Y., Ma, B. orcid.org/0000-0001-9522-5920 et al. (1 more author) (2020) Orbit angular momentum MIMO with mode selection for UAV-assisted A2G networks. Sensors, 20 (8). 2289. ISSN 1424-8220
Abstract
As an emerging solution for line-of-sight (LOS) wireless communications, in air-to-ground (A2G) channels, the unmanned aerial vehicle (UAV), and allowing the dynamic and flexible network deployments enables the supplement or/and replacement of the terrestrial base stations (BSs). However, in conventional multiple-input-multiple-output (MIMO) systems, high-speed communications are significantly limited by channel crosstalks and spectrum scarcities. An orbit angular momentum (OAM) wireless network, allowing co-existence of multiple physical channels within the same frequency band, offers new degrees of freedom to address this dilemma. In this paper, we investigate the UAV-based A2G radio vortex wireless networks and study its channel model. Then we propose a branch and bound search-based mode selection (BBS-MS) scheme, which uses the spatial distribution characteristics of vortex beams to optimize the spectrum efficiency (SE). Theoretical derivations and numerical results demonstrate that our developed BBS-MS scheme can obtain the optimal performance, which outperforms conventional OAM-based MIMO systems. Also, it possesses a lower complexity compared with exhaustive searches.
Metadata
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Copyright, Publisher and Additional Information: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | ||||
Keywords: | line-of-sight (LOS); air-to-ground (A2G); unmanned aerial vehicle (UAV); orbit angular momentum (OAM); branch and bound search-based mode selection (BBS-MS); spectrum efficiency (SE) | ||||
Dates: |
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) | ||||
Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 07 May 2020 13:56 | ||||
Last Modified: | 07 May 2020 13:56 | ||||
Status: | Published | ||||
Publisher: | MDPI | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.3390/s20082289 | ||||
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