On the power-splitting relaying protocol for SWIPT with multiple UAVs in downlink NOMA-IoT networks

Tran, Huu Q. ORCID logoORCID: https://orcid.org/0000-0001-7636-4378, Phan, Ca V. and Vien, Quoc-Tuan ORCID logoORCID: https://orcid.org/0000-0001-5490-904X (2022) On the power-splitting relaying protocol for SWIPT with multiple UAVs in downlink NOMA-IoT networks. Wireless Communications and Mobile Computing, 2022 , 3018225. ISSN 1530-8669 [Article] (doi:10.1155/2022/3018225)

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Abstract

Unmanned aerial vehicle (UAV) communication and non-orthogonal multiple access (NOMA) are two promising technologies for wireless 5G networks and beyond. The UAVs can be used as flying base stations to form line-of-sight communication links to the Internet of things devices (IDs) and to enhance the performance of usual terrestrial cellular networks. Moreover, the UAVs can also be deployed as flying relay nodes for forwarding data from a base station (BS) to the IDs. On the other hand, non-orthogonal resource sharing for many concurrent users is exploited in NOMA, thus improving spectrum efficiency (SE) and supporting massive connections. The NOMA combined with energy harvesting (EH) in an amplify-and-forward (AF) with cooperative UAV systems is researched. Specifically, the UAVs act as rotary-wing relays to forward data from the BSs to two IDs. This paper focuses on the analysis of outage probabilities (OPs), system throughput, and energy efficiency (EE) for two IDs. Besides, we also do the asymptotic analysis of OPs at high signal-to-noise ratios (SNRs). Furthermore, this paper also inspects the impacts of the UAV-based relaying on the OP, system throughput, and EE of the proposed NOMA scheme. The derived asymptotic expansions show that the suggested model can enhance user fairness and the analytical results match the simulation results.

Item Type: Article
Sustainable Development Goals:
Theme:
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 35845
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Depositing User: Quoc-Tuan Vien
Date Deposited: 06 Sep 2022 16:04
Last Modified: 06 Sep 2022 16:04
URI: https://eprints.mdx.ac.uk/id/eprint/35845

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