{"title":"Finite blocklength approach for the two-user MISO multiple-access channel with noisy feedback and its performance analysis","authors":"Guangfen Xie , Rong Luo , Bin Dai","doi":"10.1016/j.sigpro.2025.109900","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"232 ","pages":"Article 109900"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165168425000155","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
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.
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.