Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

Fengming Yang; Jianxin Dai; Cunhua Pan; Sheng Hong; Hong Ren; Kezhi Wang

doi:10.1109/vtc2022-spring54318.2022.9860625

Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

Fengming Yang, Jianxin Dai, Cunhua Pan, Sheng Hong, Hong Ren, Kezhi Wang

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	2022 IEEE 95th Vehicular Technology Conference
Subtitle of host publication	VTC2022-Spring
Place of Publication	Piscataway, US
ISBN (Electronic)	9781665482431
DOIs	https://doi.org/10.1109/vtc2022-spring54318.2022.9860625
Publication status	Published - Jun 2022

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2022-June
ISSN (Print)	1550-2252

Keywords

IRS
NOMA
RIS
imperfect CSI
robust beamforming

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10.1109/vtc2022-spring54318.2022.9860625

Cite this

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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",

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Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels. / Yang, Fengming; Dai, Jianxin; Pan, Cunhua et al.
2022 IEEE 95th Vehicular Technology Conference: VTC2022-Spring. Piscataway, US, 2022. (IEEE Vehicular Technology Conference; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

AU - Yang, Fengming

AU - Dai, Jianxin

AU - Pan, Cunhua

AU - Hong, Sheng

AU - Ren, Hong

AU - Wang, Kezhi

PY - 2022/6

Y1 - 2022/6

N2 - 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.

AB - 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.

KW - IRS

KW - NOMA

KW - RIS

KW - imperfect CSI

KW - robust beamforming

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U2 - 10.1109/vtc2022-spring54318.2022.9860625

DO - 10.1109/vtc2022-spring54318.2022.9860625

M3 - Conference contribution

T3 - IEEE Vehicular Technology Conference

BT - 2022 IEEE 95th Vehicular Technology Conference

CY - Piscataway, US

ER -

Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

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Keywords

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