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Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks

Zhu, Y; Zheng, G; Wong, KK; Dagiuklas, T; (2020) Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks. IEEE Communications Letters , 24 (10) pp. 2290-2294. 10.1109/LCOMM.2020.3001357. Green open access

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Abstract

This letter investigates a dynamic scheme to analyze and optimize unmanned-aerial-vehicle-(UAV)-to-ground millimeter-wave (MMW) networks. First, a downlink energy transfer is proposed, followed by the uplink information transfer process between the UAV base stations (BSs) and a ground Internet of things (IoT) network. The UAVs fly above the ground IoT network in the energy transfer phase with the dynamic regulation to minimize the path loss fading. Afterwards, the ground-based IoT devices use the received energy to transmit the uplink information using vertical links. The UAV BSs are modeled with gain from multiple three-dimensional uniform linear antenna arrays. After deriving new statistical properties, we analyze the spectrum efficiency and energy efficiency for the system. Our numerical results have shown that the dynamic scheme in UAV-to-ground IoT networks provides great advantages than a traditional static deployment.

Type: Article
Title: Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LCOMM.2020.3001357
Publisher version: https://doi.org/10.1109/LCOMM.2020.3001357
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Unmanned aerial vehicles, millimeter wave, wireless power transfer, energy efficiency
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10113392
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