Finite blocklength approach for the two-user MISO multiple-access channel with noisy feedback and its performance analysis

IF 3.6 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Signal Processing Pub Date : 2025-07-01 Epub Date: 2025-01-31 DOI:10.1016/j.sigpro.2025.109900
Guangfen Xie , Rong Luo , Bin Dai
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Abstract

Finite blocklength (FBL) coding is an important way to realize ultra-reliable and low latency communication (URLLC), which is one of the key requirements in future wireless communication systems. In this paper, a FBL approach is proposed for the two-user multi-input single-output (MISO) multiple-access channel (MAC) with noisy feedback channel for the first time, which generalizes the classical Schalkwijk–Kailath (SK) schemes for additive white Gaussian noise (AWGN) channels. In the proposed scheme, by using minimum mean square error estimate and modulo lattice function, the variance of the receiver’s estimation error converges after several iterations, and for a desired demodulation error probability, the required codeword length is significantly short. We further explore security and robustness performances of the proposed scheme, and the numerical examples show that the proposed scheme almost meets the physical layer security requirement in some cases, and when the receiver’s power is sufficiently large, the sum-rate almost approaches the sum-rate capacity.
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带噪声反馈的双用户MISO多址信道有限块长方法及其性能分析
有限块长(FBL)编码是实现超可靠低延迟通信(URLLC)的重要途径,是未来无线通信系统的关键要求之一。本文首次针对具有噪声反馈信道的双用户多输入单输出(MISO)多址信道(MAC)提出了一种FBL方法,推广了经典的加性高斯白噪声(AWGN)信道的schalkwiik - kailath (SK)算法。该方案利用最小均方误差估计和模格函数,使接收机估计误差的方差在多次迭代后收敛,对于理想的解调误差概率,所需码字长度显著缩短。进一步探讨了所提方案的安全性和鲁棒性,数值算例表明,所提方案在某些情况下几乎满足物理层的安全要求,当接收端功率足够大时,求和速率几乎接近求和速率容量。
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来源期刊
Signal Processing
Signal Processing 工程技术-工程:电子与电气
CiteScore
9.20
自引率
9.10%
发文量
309
审稿时长
41 days
期刊介绍: Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.
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