Capacity characterization of uplink NOMA in multi-UAV networks

In this paper, non-orthogonal multiple access (NOMA) is investigated as a potential solution to address spectrum scarcity in unmanned aerial vehicle (UAV) communications. In particular, the ergodic capacity of uplink (UL) NOMA is characterized within a stochastic geometry framework for a multi-UAV n...

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Main Authors: Tan, Ernest Zheng Hui, Madhukumar, A. S., Sirigina, Rajendra Prasad, Krishna, Anoop Kumar
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/144693
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1446932020-11-25T08:38:29Z Capacity characterization of uplink NOMA in multi-UAV networks Tan, Ernest Zheng Hui Madhukumar, A. S. Sirigina, Rajendra Prasad Krishna, Anoop Kumar School of Computer Science and Engineering 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) Engineering::Computer science and engineering Unmanned Aerial Vehicle Ergodic Capacity In this paper, non-orthogonal multiple access (NOMA) is investigated as a potential solution to address spectrum scarcity in unmanned aerial vehicle (UAV) communications. In particular, the ergodic capacity of uplink (UL) NOMA is characterized within a stochastic geometry framework for a multi-UAV network comprising a ground station (GS) and multiple UAVs. Our analysis reveals that UL NOMA enables fairness, in terms of ergodic capacity, to be achieved in the multi-UAV network. When compared against conventional UL orthogonal multiple access (OMA), we show that the ergodic capacity and ergodic sum capacity is higher for the proposed UL NOMA transmissions. Thus, the proposed scheme enables higher throughput to be achieved in multi-UAV networks while simultaneously improving spectrum efficiency. Economic Development Board (EDB) Accepted version This research is jointly funded by Airbus Singapore Pte Ltd and the Singapore Economic Development Board (EDB). 2020-11-19T02:49:22Z 2020-11-19T02:49:22Z 2020 Conference Paper Tan, E. Z. H., Madhukumar, A. S., Sirigina, R. P. & Krishna, A. K. (2020). Capacity characterization of uplink NOMA in multi-UAV networks. Proceedings of 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). doi:10.1109/VTC2020-Spring48590.2020.9129164 978-1-7281-5207-3 https://hdl.handle.net/10356/144693 10.1109/VTC2020-Spring48590.2020.9129164 en © 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. The published version is available at: https://doi.org/10.1109/VTC2020-Spring48590.2020.9129164 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Unmanned Aerial Vehicle
Ergodic Capacity
spellingShingle Engineering::Computer science and engineering
Unmanned Aerial Vehicle
Ergodic Capacity
Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
Capacity characterization of uplink NOMA in multi-UAV networks
description In this paper, non-orthogonal multiple access (NOMA) is investigated as a potential solution to address spectrum scarcity in unmanned aerial vehicle (UAV) communications. In particular, the ergodic capacity of uplink (UL) NOMA is characterized within a stochastic geometry framework for a multi-UAV network comprising a ground station (GS) and multiple UAVs. Our analysis reveals that UL NOMA enables fairness, in terms of ergodic capacity, to be achieved in the multi-UAV network. When compared against conventional UL orthogonal multiple access (OMA), we show that the ergodic capacity and ergodic sum capacity is higher for the proposed UL NOMA transmissions. Thus, the proposed scheme enables higher throughput to be achieved in multi-UAV networks while simultaneously improving spectrum efficiency.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
format Conference or Workshop Item
author Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
author_sort Tan, Ernest Zheng Hui
title Capacity characterization of uplink NOMA in multi-UAV networks
title_short Capacity characterization of uplink NOMA in multi-UAV networks
title_full Capacity characterization of uplink NOMA in multi-UAV networks
title_fullStr Capacity characterization of uplink NOMA in multi-UAV networks
title_full_unstemmed Capacity characterization of uplink NOMA in multi-UAV networks
title_sort capacity characterization of uplink noma in multi-uav networks
publishDate 2020
url https://hdl.handle.net/10356/144693
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