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https://hdl.handle.net/10356/144693
Title: | Capacity characterization of uplink NOMA in multi-UAV networks | Authors: | Tan, Ernest Zheng Hui Madhukumar, A. S. Sirigina, Rajendra Prasad Krishna, Anoop Kumar |
Keywords: | Engineering::Computer science and engineering | Issue Date: | 2020 | Source: | 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 | Conference: | 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) | Abstract: | 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. | URI: | https://hdl.handle.net/10356/144693 | ISBN: | 978-1-7281-5207-3 | DOI: | 10.1109/VTC2020-Spring48590.2020.9129164 | Schools: | School of Computer Science and Engineering | Rights: | © 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 | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Conference Papers |
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