Spectral and Energy Efficient User Pairing for RIS-assisted Uplink NOMA Systems with Imperfect Phase Compensation

Kusuma Priya, P. and Pavan Reddy, M. and Kumar, Abhinav (2022) Spectral and Energy Efficient User Pairing for RIS-assisted Uplink NOMA Systems with Imperfect Phase Compensation. In: 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, 19 June 2022 through 22 June 2022, Helsinki.

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Abstract

Non-orthogonal multiple access (NOMA) is considered a key technology for improving the spectral efficiency of fifth-generation (5G) and beyond 5G cellular networks. NOMA is beneficial when the channel vectors of the users are in the same direction, which is not always possible in conventional wireless systems. With the help of a reconfigurable intelligent surface (RIS), the base station can control the directions of the channel vectors of the users. Thus, by combining both technologies, the RIS-assisted NOMA systems are expected to achieve greater improvements in the network throughput. However, ideal phase control at the RIS is unrealizable in practice because of the imperfections in the channel estimations and the hardware limitations. This imperfection in phase control can have a significant impact on the system performance. Motivated by this, in this paper, we consider an RIS-assisted uplink NOMA system in the presence of imperfect phase compensation. We formulate the criterion for pairing the users that achieves minimum required data rates. We propose adaptive user pairing algorithms that maximize spectral or energy efficiency. We then derive various bounds on power allocation factors for the paired users. Through extensive simulation results, we show that the proposed algorithms significantly outperform the state-of-the-art algorithms in terms of spectral and energy efficiency. © 2022 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Kumar, Abhinavhttps://orcid.org/0000-0002-5880-4023
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Energy efficiency; non-orthogonal multiple access; power allocation; reconfigurable intelligent surface; spectral efficiency; uplink; user pairing
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 27 Sep 2022 11:20
Last Modified: 27 Sep 2022 11:20
URI: http://raiith.iith.ac.in/id/eprint/10723
Publisher URL: http://doi.org/10.1109/VTC2022-Spring54318.2022.98...
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