User Pairing and Power Allocation for IRS-Assisted NOMA Systems with Imperfect Phase Compensation

M., Pavan Reddy and Kumar, Abhinav (2022) User Pairing and Power Allocation for IRS-Assisted NOMA Systems with Imperfect Phase Compensation. IEEE Wireless Communications Letters. pp. 1-5. ISSN 2162-2337

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In this letter, we analyze the performance of the intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) systems in the presence of imperfect phase compensation. We derive an upper bound on the imperfect phase compensation to achieve minimum required data rate for each user. Using this bound, we propose an adaptive user pairing algorithm to maximize the network throughput. We then derive bounds on the power allocation factors and propose power allocation algorithms for the paired users to achieve the maximum sum rate or ensure fairness. Through extensive simulations, we show that the proposed algorithms significantly outperform the state-of-the-art algorithms in the presence of phase imperfections. IEEE

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IITH Creators:
IITH CreatorsORCiD
Kumar, Abhinav
Item Type: Article
Uncontrolled Keywords: Azimuth; Finite element analysis; Intelligent-reflecting surfaces (IRS); Interference; NOMA; non-orthogonal multiple access (NOMA); power allocation; Reflection; Resource management; Signal to noise ratio; spectral efficiency; user pairing
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 27 Sep 2022 09:02
Last Modified: 27 Sep 2022 09:02
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