{"title":"一种基于流形的xml - mimo系统近场LoS通道码本设计方案","authors":"Zhen Yang, Tianbao Gao, Yunchao Song, Chen Liu","doi":"10.1016/j.sigpro.2025.110103","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we propose a manifold-based codebook design scheme for near-field line-of-sight (LoS) channel in extremely large-scale multiple-input–multiple output (XL-MIMO) systems, where the user is equipped with multiple antennas. The LoS XL-MIMO channel model has been developed, considering the spatial distribution characteristics of multiple receiving antennas. The proposed scheme employs manifold optimization to design the codebook, resulting in a higher achievable rate compared to the conventional polar-domain codebook. Specifically, to establish the codebook, the angle and distance parameters in space are quantified by minimizing the incoherence between two channel matrices of different user locations. Since the near-field LoS channel matrix is no longer rank one, multiple codewords are designed for each quantified point to cover the LoS paths. Furthermore, the joint design of codewords at the BS and user side is formulated as an optimization problem with a constant modulus constraint, which defines a geometric structure in the form of a complex circle manifold. To solve the constant modulus optimization problem, we decouple it into two independent sub-problems. The Riemannian gradient descent algorithm on the complex circle manifold is applied to efficiently solve such problems. Numerical results demonstrate the superiority of our proposed scheme in improving the achievable rate.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"238 ","pages":"Article 110103"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A manifold-based codebook design scheme for near-field LoS channel in XL-MIMO systems\",\"authors\":\"Zhen Yang, Tianbao Gao, Yunchao Song, Chen Liu\",\"doi\":\"10.1016/j.sigpro.2025.110103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we propose a manifold-based codebook design scheme for near-field line-of-sight (LoS) channel in extremely large-scale multiple-input–multiple output (XL-MIMO) systems, where the user is equipped with multiple antennas. The LoS XL-MIMO channel model has been developed, considering the spatial distribution characteristics of multiple receiving antennas. The proposed scheme employs manifold optimization to design the codebook, resulting in a higher achievable rate compared to the conventional polar-domain codebook. Specifically, to establish the codebook, the angle and distance parameters in space are quantified by minimizing the incoherence between two channel matrices of different user locations. Since the near-field LoS channel matrix is no longer rank one, multiple codewords are designed for each quantified point to cover the LoS paths. Furthermore, the joint design of codewords at the BS and user side is formulated as an optimization problem with a constant modulus constraint, which defines a geometric structure in the form of a complex circle manifold. To solve the constant modulus optimization problem, we decouple it into two independent sub-problems. The Riemannian gradient descent algorithm on the complex circle manifold is applied to efficiently solve such problems. Numerical results demonstrate the superiority of our proposed scheme in improving the achievable rate.</div></div>\",\"PeriodicalId\":49523,\"journal\":{\"name\":\"Signal Processing\",\"volume\":\"238 \",\"pages\":\"Article 110103\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-05-29\",\"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/S0165168425002178\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165168425002178","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}
A manifold-based codebook design scheme for near-field LoS channel in XL-MIMO systems
In this paper, we propose a manifold-based codebook design scheme for near-field line-of-sight (LoS) channel in extremely large-scale multiple-input–multiple output (XL-MIMO) systems, where the user is equipped with multiple antennas. The LoS XL-MIMO channel model has been developed, considering the spatial distribution characteristics of multiple receiving antennas. The proposed scheme employs manifold optimization to design the codebook, resulting in a higher achievable rate compared to the conventional polar-domain codebook. Specifically, to establish the codebook, the angle and distance parameters in space are quantified by minimizing the incoherence between two channel matrices of different user locations. Since the near-field LoS channel matrix is no longer rank one, multiple codewords are designed for each quantified point to cover the LoS paths. Furthermore, the joint design of codewords at the BS and user side is formulated as an optimization problem with a constant modulus constraint, which defines a geometric structure in the form of a complex circle manifold. To solve the constant modulus optimization problem, we decouple it into two independent sub-problems. The Riemannian gradient descent algorithm on the complex circle manifold is applied to efficiently solve such problems. Numerical results demonstrate the superiority of our proposed scheme in improving the achievable rate.
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.