UAV-enabled multi-pair massive MIMO-NOMA relay systems with low-resolution ADCs/DACs

Li, X., Zhang, M., Chen, H., Han, C., Li, L., Do, D.-T., Mumtaz, S. ORCID: 0000-0001-6364-6149 and Nallanathan, A., 2023. UAV-enabled multi-pair massive MIMO-NOMA relay systems with low-resolution ADCs/DACs. IEEE Transactions on Vehicular Technology. ISSN 0018-9545

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In this paper, we consider an unmanned aerial vehicle (UAV)-enabled massive multiple-input multiple-out (MIMO) non-orthogonal multiple access (NOMA) full-duplex (FD) two-way relay (TWR) system with low-resolution analog-to-digital converters/digital-to-analog converters (ADCs/DACs), where the UAV provide services for multi-pair ground users (GUs). By employing maximum ratio combining/maximum ratio transmission (MRC/MRT), the approximate closed-form expressions for sum spectrum/energy efficiency (SE/EE) with imperfect channel state information (CSI), imperfect successive interference cancellation (SIC) and quantization noise are derived. To evaluate the effects of the parameters on system performance, the asymptotic analysis and the power scaling laws are further provided. Finally, an optimization scheme is proposed to maximize the SE of the considered system. The numerical results verify the accuracy of theoretical analysis and show that the interference and noise can be effectively eliminated by deploying large-scale antennas and applying proper power scaling law. We also demonstrate that the proposed system can obtain better SE by adjusting the height of the UAV. Moreover, the system performance is related to the ADCs/DACs quantization bits, where the SE saturation values increase by increasing number of quantization bits, while the EE first increases and then decreases. Finally, the SE/EE trade-off at low precision ADCs/DACs can be achieved by choosing the appropriate number of quantization bits, and the trade-off region grows as Rician factor increases.

Item Type: Journal article
Publication Title: IEEE Transactions on Vehicular Technology
Creators: Li, X., Zhang, M., Chen, H., Han, C., Li, L., Do, D.-T., Mumtaz, S. and Nallanathan, A.
Publisher: Institute of Electrical and Electronics Engineers
Date: 2023
ISSN: 0018-9545
Rights: © 2023 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.
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 18 Sep 2023 13:28
Last Modified: 18 Sep 2023 13:28

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