有限块长有源star - ris辅助NOMA硬件损伤的性能分析

IF 3 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Shiv Kumar, Brijesh Kumbhani
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引用次数: 0

摘要

主动同时发射和反射可重构智能表面(star - ris)利用集成反射型放大器来避免乘法衰落损失的潜力引起了人们的广泛关注。本文研究了在存在硬件损伤的级联信道上,astar - ris辅助非正交多址(NOMA)具有完全和不完全连续干扰抵消(SIC)的有限块长(FBL)分析。首先,利用Laguerre多项式级数近似,导出了级联的fourier衰落信道的统计分布。其次,利用高斯-切比雪夫正交法和高斯-拉盖尔正交法推导了平均分组错误率(ABLER)、遍历率(ER)和系统吞吐量的解析表达式。第三,导出了ABLER的渐近表达式,得到了有用的见解。最后,利用蒙特卡罗仿真对分析结果进行了验证。数值结果验证了star - ris辅助NOMA (star - ris -NOMA)优于无源star - ris辅助NOMA (PSTAR-RIS-NOMA)和star - ris辅助正交多址(OMA) (star - ris -OMA)的正确性和优越性能。此外,还分析了其他系统参数的影响,如不完善的SIC、硬件损伤和块长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of active STAR-RIS-assisted NOMA with hardware impairments at finite blocklength
The active simultaneously transmitting and reflecting-reconfigurable intelligent surface's (ASTAR-RIS) potential to avoid multiplicative fading loss by utilizing integrated reflection-type amplifiers has drawn considerable interest. This paper investigates the finite blocklength (FBL) analysis of ASTAR-RIS-assisted non-orthogonal multiple access (NOMA) with perfect and imperfect successive interference cancellation (SIC) in the presence of hardware impairments over cascaded Rician fading channels. Firstly, we derive the statistical distribution of cascaded Rician fading channels with the help of Laguerre polynomial series approximation. Secondly, we derive the novel analytical expression for average block error rate (ABLER), ergodic rate (ER), and system throughput with the help of the Gauss Chebyshev quadrature and the Gauss Laguerre quadrature method. Thirdly, the asymptotic expression for ABLER is derived to gain useful insights. Finally, the Monte Carlo simulations are used to verify the analytical results. Numerical results verify the correctness and superior performance of ASTAR-RIS-assisted NOMA (ASTAR-RIS-NOMA) over passive STAR-RIS-assisted NOMA (PSTAR-RIS-NOMA) and ASTAR-RIS-assisted orthogonal multiple access (OMA) (ASTAR-RIS-OMA). Additionally, the impact of other system parameters like imperfect SIC, hardware impairments, and block length are analyzed.
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来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
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