Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI

To improve the robustness and reduce the energy consumption of non-orthogonal multiple access (NOMA) networks, based on hardware impairments (HWI) of transceiver and non-perfect channel state information (CSI), an intelligent reflecting surface (IRS) assisted transmission power minimization algorith...

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Main Authors: Qilie LIU, Jiacheng FANG, Yanan XIN, Qianbin CHEN
Format: Article
Language:zho
Published: China InfoCom Media Group 2024-03-01
Series:物联网学报
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Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00370/
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author Qilie LIU
Jiacheng FANG
Yanan XIN
Qianbin CHEN
author_facet Qilie LIU
Jiacheng FANG
Yanan XIN
Qianbin CHEN
author_sort Qilie LIU
collection DOAJ
description To improve the robustness and reduce the energy consumption of non-orthogonal multiple access (NOMA) networks, based on hardware impairments (HWI) of transceiver and non-perfect channel state information (CSI), an intelligent reflecting surface (IRS) assisted transmission power minimization algorithm for NOMA networks was proposed.The joint optimization problem of active beam assignment at the base station and passive beam assignment at the IRS was modeled based on HWI and non-perfect CSI.The system considered the user quality of service (QoS) constraint, the serial interference cancellation constraint and the reflection phase shift constraint of the IRS.To solve this nonconvex optimization problem, the QoS constraints were firstly transformed using linear approximation and S-Procedure methods.Then the optimization problem was decomposed into two subproblems.The active beam assignment subproblem was solved using the successive convex approximation (SCA) method.The passive beam assignment subproblem was solved using the penalized convex-concave process algorithm.Finally, the final solution was obtained by iterating the subproblems alternately using alternating optimization.The simulation results show that the proposed algorithm reduces 17.05% compared to the or thogonal multiple access robust algorithm in terms of transmitted power.In terms of system robustness, the proposed algorithm improves by 20.69% and 31.14% compared to the HWI robust algorithm and the CSI robust algorithm, respectively.
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institution Kabale University
issn 2096-3750
language zho
publishDate 2024-03-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-86f71097e0324d7492d318f0f826b7972025-01-15T02:51:38ZzhoChina InfoCom Media Group物联网学报2096-37502024-03-018607055296439Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSIQilie LIUJiacheng FANGYanan XINQianbin CHENTo improve the robustness and reduce the energy consumption of non-orthogonal multiple access (NOMA) networks, based on hardware impairments (HWI) of transceiver and non-perfect channel state information (CSI), an intelligent reflecting surface (IRS) assisted transmission power minimization algorithm for NOMA networks was proposed.The joint optimization problem of active beam assignment at the base station and passive beam assignment at the IRS was modeled based on HWI and non-perfect CSI.The system considered the user quality of service (QoS) constraint, the serial interference cancellation constraint and the reflection phase shift constraint of the IRS.To solve this nonconvex optimization problem, the QoS constraints were firstly transformed using linear approximation and S-Procedure methods.Then the optimization problem was decomposed into two subproblems.The active beam assignment subproblem was solved using the successive convex approximation (SCA) method.The passive beam assignment subproblem was solved using the penalized convex-concave process algorithm.Finally, the final solution was obtained by iterating the subproblems alternately using alternating optimization.The simulation results show that the proposed algorithm reduces 17.05% compared to the or thogonal multiple access robust algorithm in terms of transmitted power.In terms of system robustness, the proposed algorithm improves by 20.69% and 31.14% compared to the HWI robust algorithm and the CSI robust algorithm, respectively.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00370/intelligent reflecting surfacenon-orthogonal multiple accesshardware impairmentchannel state informationrobustness
spellingShingle Qilie LIU
Jiacheng FANG
Yanan XIN
Qianbin CHEN
Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
物联网学报
intelligent reflecting surface
non-orthogonal multiple access
hardware impairment
channel state information
robustness
title Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
title_full Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
title_fullStr Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
title_full_unstemmed Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
title_short Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
title_sort robust transmission algorithm for irs assisted noma network with hardware impairments and imperfect csi
topic intelligent reflecting surface
non-orthogonal multiple access
hardware impairment
channel state information
robustness
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00370/
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AT jiachengfang robusttransmissionalgorithmforirsassistednomanetworkwithhardwareimpairmentsandimperfectcsi
AT yananxin robusttransmissionalgorithmforirsassistednomanetworkwithhardwareimpairmentsandimperfectcsi
AT qianbinchen robusttransmissionalgorithmforirsassistednomanetworkwithhardwareimpairmentsandimperfectcsi