{"title":"Simulation of Dynamic Weighted MS Decoding Algorithm on LDPC for 5G","authors":"Wang Qianchun, Jonathan M. Caballero","doi":"10.1109/ICCWAMTIP56608.2022.10016607","DOIUrl":null,"url":null,"abstract":"According to the characteristics of high-speed, low delay, large-capacity data transmission and various scenarios in 5G mobile communication, an improved decoding algorithm based on LDPC code for 5G is proposed. The algorithm adopts dynamic weighting decoding method to dynamically weight the information. In this way, the iteration can be accelerated when the information is transmitted, to reduce the number of iterations and improve the gain at the same time. From the point of view that 5G channel coding needs to support more bit rates, the simulation results show that compared with the traditional decoding algorithm, the performance of the improved MS algorithm is improved by about 0.4dB, and the dynamic weighting method improves the decoding performance and reduces the number of decoding iterations.","PeriodicalId":159508,"journal":{"name":"2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWAMTIP56608.2022.10016607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
According to the characteristics of high-speed, low delay, large-capacity data transmission and various scenarios in 5G mobile communication, an improved decoding algorithm based on LDPC code for 5G is proposed. The algorithm adopts dynamic weighting decoding method to dynamically weight the information. In this way, the iteration can be accelerated when the information is transmitted, to reduce the number of iterations and improve the gain at the same time. From the point of view that 5G channel coding needs to support more bit rates, the simulation results show that compared with the traditional decoding algorithm, the performance of the improved MS algorithm is improved by about 0.4dB, and the dynamic weighting method improves the decoding performance and reduces the number of decoding iterations.