{"title":"Decoding-Aided Channel Estimation Based on the GC-LDPC Codes in Time-Varying MIMO Systems","authors":"Hongmei Kang;Lin Zhao;Ming Jiang;Chunming Zhao","doi":"10.1109/LCOMM.2025.3600544","DOIUrl":null,"url":null,"abstract":"Massive multiple-input multiple-output (MIMO) has been widely adopted in next-generation wireless systems to enhance spectral efficiency and reliability. However, channel aging poses a significant challenge, leading to the outdated channel state information and degraded system performance. To address this issue, we propose a decoding-aided Kalman filter channel tracking algorithm based on the globally-coupled low-density parity-check (GC-LDPC) codes. The proposed approach leverages locally decoded symbols to optimize channel estimation and employs global decoding to further reduce the error floor. Additionally, protograph-based extrinsic information transfer analysis and the error minimization progressive edge-growth algorithm are utilized to optimize the compatible GC-LDPC codes. Simulation results demonstrate that the proposed algorithm significantly improves channel tracking performance in time-varying MIMO systems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 10","pages":"2466-2470"},"PeriodicalIF":4.4000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11130374/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Massive multiple-input multiple-output (MIMO) has been widely adopted in next-generation wireless systems to enhance spectral efficiency and reliability. However, channel aging poses a significant challenge, leading to the outdated channel state information and degraded system performance. To address this issue, we propose a decoding-aided Kalman filter channel tracking algorithm based on the globally-coupled low-density parity-check (GC-LDPC) codes. The proposed approach leverages locally decoded symbols to optimize channel estimation and employs global decoding to further reduce the error floor. Additionally, protograph-based extrinsic information transfer analysis and the error minimization progressive edge-growth algorithm are utilized to optimize the compatible GC-LDPC codes. Simulation results demonstrate that the proposed algorithm significantly improves channel tracking performance in time-varying MIMO systems.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.