Optimizing deployment and partitioning strategies for aerial RIS-aided uplink NOMA under residual hardware impairments

Naim Shaikh, Mohd Hamza, Celik, Abdulkadir, Arzykulov, Sultangali, Eltawil, Ahmed M. and Nauryzbayev, Galymzhan (2025) Optimizing deployment and partitioning strategies for aerial RIS-aided uplink NOMA under residual hardware impairments. In 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2025. IEEE. 6 pp . (doi:10.1109/PIMRC62392.2025.11274767).

Abstract

The incorporation of reconfigurable intelligent surfaces (RISs) and unmanned aerial vehicles (UAVs) presents considerable potential for improving the functionality of ground-based terrestrial Internet of Things (IoT) networks. This paper introduces a novel UAV deployment and aerial RIS partitioning mechanism for the uplink non-orthogonal multiple access (NOMA)-based IoT networks under practical hardware constraints. The low-cost hardware of IoT devices results in imperfect successive interference cancellation (SIC) and distortion noise due to transceiver hardware impairments (T-HIs). Specifically, we have optimized the aerial RIS partitioning and its deployment to maximize the minimum rate under the impact of imperfect SIC and T-HIs. The numerical results show that the proposed scheme outperforms the benchmark. Through extensive simulations, we prove that the proposed UAV-based aerial RIS-aided uplink NOMA network significantly enhances the max-min fair rate.

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Contributors

Author: Abdulkadir Celik

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