{"title":"基于树搜索的极化编码MIMO系统迭代检测与解码","authors":"Jingyi Chen;Yutai Sun;Yifei Shen;Yongming Huang;Xiaohu You;Chuan Zhang","doi":"10.1109/LWC.2024.3506655","DOIUrl":null,"url":null,"abstract":"With the rapid development of wireless communications, future applications call for an increase in reliability performance. Thanks to the soft information exchange between detection and decoding, iterative detection and decoding (IDD) exhibits superior performance over separate detection and decoding (SDD). In this letter, we introduce TRIP, a tree search-based IDD receiver designed for polar-coded multiple-input multiple-output (MIMO) systems. To enhance the error rate performance of TRIP and reduce its complexity, we utilize the <inline-formula> <tex-math>$\\mathscr {S}$ </tex-math></inline-formula> metric selection evolutionary multiobjective optimization algorithm (SMS-EMOA). This algorithm refines the extrinsic information and the layer width of detectors and decoders, achieving an improved balance between performance and complexity. Simulation results indicate that TRIP outperforms its SDD mode by 1.38 dB at a frame error rate (FER) of <inline-formula> <tex-math>$10^{-3}$ </tex-math></inline-formula>, and gains an additional 0.68 dB by fine-tuning the extrinsic information. The complexity of the detector and the decoder is reduced by 56.3% and 37.8% without compromising their performance gains, respectively.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 3","pages":"591-595"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TRIP: Tree Search-Based Iterative Detection and Decoding for Polar-Coded MIMO Systems\",\"authors\":\"Jingyi Chen;Yutai Sun;Yifei Shen;Yongming Huang;Xiaohu You;Chuan Zhang\",\"doi\":\"10.1109/LWC.2024.3506655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of wireless communications, future applications call for an increase in reliability performance. Thanks to the soft information exchange between detection and decoding, iterative detection and decoding (IDD) exhibits superior performance over separate detection and decoding (SDD). In this letter, we introduce TRIP, a tree search-based IDD receiver designed for polar-coded multiple-input multiple-output (MIMO) systems. To enhance the error rate performance of TRIP and reduce its complexity, we utilize the <inline-formula> <tex-math>$\\\\mathscr {S}$ </tex-math></inline-formula> metric selection evolutionary multiobjective optimization algorithm (SMS-EMOA). This algorithm refines the extrinsic information and the layer width of detectors and decoders, achieving an improved balance between performance and complexity. Simulation results indicate that TRIP outperforms its SDD mode by 1.38 dB at a frame error rate (FER) of <inline-formula> <tex-math>$10^{-3}$ </tex-math></inline-formula>, and gains an additional 0.68 dB by fine-tuning the extrinsic information. The complexity of the detector and the decoder is reduced by 56.3% and 37.8% without compromising their performance gains, respectively.\",\"PeriodicalId\":13343,\"journal\":{\"name\":\"IEEE Wireless Communications Letters\",\"volume\":\"14 3\",\"pages\":\"591-595\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Wireless Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10839393/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10839393/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
TRIP: Tree Search-Based Iterative Detection and Decoding for Polar-Coded MIMO Systems
With the rapid development of wireless communications, future applications call for an increase in reliability performance. Thanks to the soft information exchange between detection and decoding, iterative detection and decoding (IDD) exhibits superior performance over separate detection and decoding (SDD). In this letter, we introduce TRIP, a tree search-based IDD receiver designed for polar-coded multiple-input multiple-output (MIMO) systems. To enhance the error rate performance of TRIP and reduce its complexity, we utilize the $\mathscr {S}$ metric selection evolutionary multiobjective optimization algorithm (SMS-EMOA). This algorithm refines the extrinsic information and the layer width of detectors and decoders, achieving an improved balance between performance and complexity. Simulation results indicate that TRIP outperforms its SDD mode by 1.38 dB at a frame error rate (FER) of $10^{-3}$ , and gains an additional 0.68 dB by fine-tuning the extrinsic information. The complexity of the detector and the decoder is reduced by 56.3% and 37.8% without compromising their performance gains, respectively.
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. 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 wireless communication systems.