Fontanesi, Gianluca, Zhu, Anding and Ahmadi, Hamed orcid.org/0000-0001-5508-8757 (2020) Outage Analysis for Millimeter-Wave Fronthaul Link of UAV-aided Wireless Networks. IEEE Access. 111693 - 111706. ISSN 2169-3536
Abstract
Unmanned Aerial Vehicle (UAV)-wireless networks represent a promising solution to expand the reach of mobile connectivity beyond current boundaries. When Distributed Units (DUs) are deployed on the UAV, the high rate requirement on the wireless Fronthaul (FH) link between the UAV-DU and the terrestrial network poses a major challenge. To address the capacity demand of the FH network, we investigate the outage probability at millimeter Wave (mmWave) and sub-6GHz frequency for different blockage environments and UAV heights. Utilizing a stochastic geometry framework, we first derive analytical approximate expressions for the outage probability of the FH link and we observe generally a good agreement with the simulation results for different UAV heights. In addition, numerical results for different urban densities show that the FH outage probability is minimized choosing an optimal UAV-DU altitude. We further analyze the impact of the antenna gain for two candidate mmWave frequencies on the FH link. High mmWave bands need sharp directional beamforming and large transmit bandwidth to outperform low mmWave bands in term of rate outage. As last, our results show the impact on the outage probability of the FH overhead, that scales with the number of antenna elements, for different protocol splits.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 16 Jun 2020 14:50 |
Last Modified: | 16 Oct 2024 16:40 |
Published Version: | https://doi.org/10.1109/ACCESS.2020.3001342 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1109/ACCESS.2020.3001342 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161966 |