@inproceedings{215862a75dd3437c8eb0c78396b2b59b,
title = "Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels",
abstract = "This paper studies the worst-case robust beamforming design for a reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access (NOMA) network with imperfect channels. We aim to minimize the transmission power while satisfying the requirement of the worst-case quality of service (QoS). With the worst-case QoS constraints, unit-modulus constraints and imperfect channel state information (CSI), this problem is a non-convex optimization problem. To solve this problem, we propose a two-procedure algorithm by applying penalty function and semidefinite relaxation (SDR). Finally, simulation results illustrate that the RIS-aided NOMA system has better performance than the traditional NOMA system.",
keywords = "IRS, NOMA, RIS, imperfect CSI, robust beamforming",
author = "Fengming Yang and Jianxin Dai and Cunhua Pan and Sheng Hong and Hong Ren and Kezhi Wang",
year = "2022",
month = jun,
doi = "10.1109/vtc2022-spring54318.2022.9860625",
language = "English",
series = "IEEE Vehicular Technology Conference",
booktitle = "2022 IEEE 95th Vehicular Technology Conference",
}