Robust Beamforming for IRS-Enhanced Uplink NOMA Transmission in Satellite Systems

Shupei Huang; Bai Zhao; Min Lin; Jian Ouyang; Wei Ping Zhu; Zhiguo Ding

doi:10.1109/TVT.2023.3301091

Robust Beamforming for IRS-Enhanced Uplink NOMA Transmission in Satellite Systems

Shupei Huang, Bai Zhao, Min Lin, Jian Ouyang, Wei Ping Zhu, Zhiguo Ding

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1 Scopus citations

Abstract

In this article, a robust beamforming (BF) scheme is proposed for an intelligent reflecting surface (IRS)-enhanced uplink non-orthogonal multiple access (NOMA) transmission in satellite communications. Specifically, by assuming that the phase errors of the user-IRS link and user-satellite link follow the Gaussian or uniform distribution, we first formulate a constrained optimization problem to minimize the total transmit power, while satisfying the quality-of-service requirement of each user with the outage probability constraint. Then, a robust BF algorithm based on the central-limit theorem (CLT) and alternating optimization (AO) is proposed to obtain the passive BF weight vector of the IRS and the power allocation coefficients of users. Finally, numerical results demonstrate the superiority and robustness of proposed scheme.

Original language	British English
Pages (from-to)	1370-1375
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Volume	73
Issue number	1
DOIs	https://doi.org/10.1109/TVT.2023.3301091
State	Published - 1 Jan 2024

Keywords

Intelligent reflecting surface
non-orthogonal multiple access
robust beamforming
satellite communication

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10.1109/TVT.2023.3301091

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abstract = "In this article, a robust beamforming (BF) scheme is proposed for an intelligent reflecting surface (IRS)-enhanced uplink non-orthogonal multiple access (NOMA) transmission in satellite communications. Specifically, by assuming that the phase errors of the user-IRS link and user-satellite link follow the Gaussian or uniform distribution, we first formulate a constrained optimization problem to minimize the total transmit power, while satisfying the quality-of-service requirement of each user with the outage probability constraint. Then, a robust BF algorithm based on the central-limit theorem (CLT) and alternating optimization (AO) is proposed to obtain the passive BF weight vector of the IRS and the power allocation coefficients of users. Finally, numerical results demonstrate the superiority and robustness of proposed scheme.",

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author = "Shupei Huang and Bai Zhao and Min Lin and Jian Ouyang and Zhu, {Wei Ping} and Zhiguo Ding",

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T1 - Robust Beamforming for IRS-Enhanced Uplink NOMA Transmission in Satellite Systems

AU - Huang, Shupei

AU - Zhao, Bai

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AU - Zhu, Wei Ping

AU - Ding, Zhiguo

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AB - In this article, a robust beamforming (BF) scheme is proposed for an intelligent reflecting surface (IRS)-enhanced uplink non-orthogonal multiple access (NOMA) transmission in satellite communications. Specifically, by assuming that the phase errors of the user-IRS link and user-satellite link follow the Gaussian or uniform distribution, we first formulate a constrained optimization problem to minimize the total transmit power, while satisfying the quality-of-service requirement of each user with the outage probability constraint. Then, a robust BF algorithm based on the central-limit theorem (CLT) and alternating optimization (AO) is proposed to obtain the passive BF weight vector of the IRS and the power allocation coefficients of users. Finally, numerical results demonstrate the superiority and robustness of proposed scheme.

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Robust Beamforming for IRS-Enhanced Uplink NOMA Transmission in Satellite Systems

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