Optimizing energy efficiency for supporting near-cloud access region of UAV based NOMA networks in IoT systems

Tran, Huu Q., Phan, Ca V. and Vien, Quoc-Tuan ORCID: https://orcid.org/0000-0001-5490-904X (2021) Optimizing energy efficiency for supporting near-cloud access region of UAV based NOMA networks in IoT systems. Wireless Communications and Mobile Computing, 2021 , 4345622. pp. 1-12. ISSN 1530-8669 [Article] (doi:10.1155/2021/4345622)

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Abstract

Non-orthogonal multiple access (NOMA) and unmanned aerial vehicle (UAV) are two promising technologies for wireless the fifth generation (5G) networks and beyond. On one hand, UAVs can be deployed as flying base stations to build line-of-sight (LoS) communication links to two ground users (GUs) and to improve the performance of conventional terrestrial cellular networks. On the other hand, NOMA enables the share of an orthogonal resource to multiple users simultaneously, thus improving the spectral efficiency and supporting massive connectivities. This paper presents two protocols namely cloud-base central station (CCS) based
power-splitting protocol (PSR) and time-switching protocol (TSR), for simultaneously wireless information and power transmission (SWIPT) at UAV employed in power domain NOMA based multi-tier heterogeneous cloud radio access network (H-CRAN) of internet of things (IoT) system. The system model with k types of UAVs and two users in which the CCS manages the entire H-CRAN and operates as a central unit in the cloud is proposed in our work. Closed-form expressions of throughput and energy efficiency (EE) for UAVs are derived. In particular, the EE is determined for the impacts of power allocation at CCS, various UAV types and channel environment. The simulation results show that the performance for CCS-based PSR outperforms that for CCS-based TSR for the impacts of power allocation at the CCS. On contrary, the TSR protocol has a higher EE than the PSR in cases of the impact of various UAV types and channel environment. The analytic results match Monte Carlo simulations.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 33880
Notes on copyright: Copyright © 2021 Huu Q. Tran et al. This is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Useful Links:
Depositing User: Quoc-Tuan Vien
Date Deposited: 24 Sep 2021 17:26
Last Modified: 16 Oct 2021 03:22
URI: https://eprints.mdx.ac.uk/id/eprint/33880

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