Performance Analysis of STAR-RIS Assisted NOMA Systems With Hardware Impairments

Unlike conventional reconfigurable intelligent surfaces (RIS), simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) have been used to achieve a more flexible degree of freedom in signal propagation. This paper evaluates the performance of STAR-RIS assisted non-orthogonal multiple access networks under hardware impairments over Nakagami-<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> fading channels. Firstly, we derive exact analytical expressions for the probability density function and cumulative distribution function of the sum of cascaded channels using Fox’s <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i>-function. Furthermore, we conduct performance analysis including the outage probability, diversity orders, and average achievable rate for a pair of users. Finally, Simulation results validate the analytical expressions and demonstrate that the outage performance improves with increasing the number of STAR-RIS elements <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i>, hardware impairments degrade overall network performance.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3627124
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Analysis of STAR-RIS Assisted NOMA Systems With Hardware Impairments

Juan Yang, Henry Luo, Jianbo Ji, Liang Wenbin
1 citations
IEEE Access
Advanced Wireless Communication Technologies
0.73
article

Performance Analysis of STAR-RIS Assisted NOMA Systems With Hardware Impairments

Juan Yang, Henry Luo, Jianbo Ji, Liang Wenbin
article en
1 citations

Abstract

Unlike conventional reconfigurable intelligent surfaces (RIS), simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) have been used to achieve a more flexible degree of freedom in signal propagation. This paper evaluates the performance of STAR-RIS assisted non-orthogonal multiple access networks under hardware impairments over Nakagami-<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</i> fading channels. Firstly, we derive exact analytical expressions for the probability density function and cumulative distribution function of the sum of cascaded channels using Fox’s <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i>-function. Furthermore, we conduct performance analysis including the outage probability, diversity orders, and average achievable rate for a pair of users. Finally, Simulation results validate the analytical expressions and demonstrate that the outage performance improves with increasing the number of STAR-RIS elements <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i>, hardware impairments degrade overall network performance.

IEEE AccessVol. 13
Guangxi University (CN), Guilin University of Aerospace Technology (CN), Guilin University of Electronic Technology (CN)
Openalex Percentile: Top 22%
Advanced Wireless Communication Technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance Analysis of STAR-RIS Assisted NOMA Systems With Hardware Impairments — Juan Yang, Henry Luo, et al. · IEEE Access (2025) | TGRS Research Map | TGRS