Full-duplex relay non-orthogonal multiple access networks with short-packet communication: Block error rate and average achievable rate analysis

IF 2.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Digital Signal Processing Pub Date : 2025-01-02 DOI:10.1016/j.dsp.2024.104968
Pham Thi Thanh Huyen , Bo Quoc Bao , Nguyen Thu Phuong
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Abstract

This paper considers the effectiveness of short packet communication (SPC) in a full-duplex (FD) relay system with a non-orthogonal multiple access (NOMA) scheme. We use mathematical methods to derive the block error rate (BLER) and average achievable rate (AAR) of the proposed system in which residual-self interference (RSI) and imperfect successive interference cancellation (SIC) are taken into consideration. We optimize the power allocation coefficient to minimize the average BLER and investigate the influence of factors such as block-length, transmission bits, RSI, and imperfect SIC on system performance. We enhance the BLER and AAR by employing maximum-ratio combining (MRC) and maximum-ratio transmission (MRT) with multiple antennas at the source and destinations. The results indicate that using a multi-antenna for the considered NOMA FD relay system can achieve the criteria of ultra-reliable and low-latency communications (URLLC). It also demonstrates the superiority of NOMA over conventional orthogonal multiple access (OMA) schemes and FD over half duplex (HD) schemes. The system exhibits an exceptionally low average BLER. Our analytical frameworks are validated by simulation results, providing valuable insights for optimizing the power allocation coefficients to minimize BLER in the proposed system.
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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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