{"title":"有限块长有源star - ris辅助NOMA硬件损伤的性能分析","authors":"Shiv Kumar, Brijesh Kumbhani","doi":"10.1016/j.dsp.2025.105206","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"163 ","pages":"Article 105206"},"PeriodicalIF":3.0000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance analysis of active STAR-RIS-assisted NOMA with hardware impairments at finite blocklength\",\"authors\":\"Shiv Kumar, Brijesh Kumbhani\",\"doi\":\"10.1016/j.dsp.2025.105206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":51011,\"journal\":{\"name\":\"Digital Signal Processing\",\"volume\":\"163 \",\"pages\":\"Article 105206\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1051200425002283\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051200425002283","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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.
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,