{"title":"基于软件无线电的第五代网络改进的速率自适应不规则低密度奇偶校验编码分析","authors":"M. Ramakrishnan, Tharini Chandrapragasam","doi":"10.22247/ijcna/2023/221886","DOIUrl":null,"url":null,"abstract":"– Low Density Parity Check Codes are appropriate for high data rate applications like Internet of Things and 5G communication due to its support for bigger block size and higher code rate. In this paper an improved LDPC encoding algorithm is proposed to reduce girth 4 short cycles. This reduction helps in achieving lesser Bit Error Rate (BER) for various channel models with different code rates and modulation schemes. The proposed work is analyzed both for Pseudo Random sequence and audio messages. The simulation results demonstrate that the algorithm achieves low BER of 𝟏𝟎 −𝟖 for code rate of 0.7 when tested for various code rates. The proposed algorithm also achieves reduced short cycles when compared with conventional LDPC encoding algorithm. Simulation results were verified by implementing the proposed algorithm in NI USRP Software Defined Radio. The SDR results verify that proposed algorithm provide low BER with reduced short cycles.","PeriodicalId":36485,"journal":{"name":"International Journal of Computer Networks and Applications","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Improved Rate Adaptive Irregular Low Density Parity Check Encoding for Fifth Generation Networks Using Software Defined Radio\",\"authors\":\"M. Ramakrishnan, Tharini Chandrapragasam\",\"doi\":\"10.22247/ijcna/2023/221886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"– Low Density Parity Check Codes are appropriate for high data rate applications like Internet of Things and 5G communication due to its support for bigger block size and higher code rate. In this paper an improved LDPC encoding algorithm is proposed to reduce girth 4 short cycles. This reduction helps in achieving lesser Bit Error Rate (BER) for various channel models with different code rates and modulation schemes. The proposed work is analyzed both for Pseudo Random sequence and audio messages. The simulation results demonstrate that the algorithm achieves low BER of 𝟏𝟎 −𝟖 for code rate of 0.7 when tested for various code rates. The proposed algorithm also achieves reduced short cycles when compared with conventional LDPC encoding algorithm. Simulation results were verified by implementing the proposed algorithm in NI USRP Software Defined Radio. The SDR results verify that proposed algorithm provide low BER with reduced short cycles.\",\"PeriodicalId\":36485,\"journal\":{\"name\":\"International Journal of Computer Networks and Applications\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Networks and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22247/ijcna/2023/221886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Networks and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22247/ijcna/2023/221886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Analysis of Improved Rate Adaptive Irregular Low Density Parity Check Encoding for Fifth Generation Networks Using Software Defined Radio
– Low Density Parity Check Codes are appropriate for high data rate applications like Internet of Things and 5G communication due to its support for bigger block size and higher code rate. In this paper an improved LDPC encoding algorithm is proposed to reduce girth 4 short cycles. This reduction helps in achieving lesser Bit Error Rate (BER) for various channel models with different code rates and modulation schemes. The proposed work is analyzed both for Pseudo Random sequence and audio messages. The simulation results demonstrate that the algorithm achieves low BER of 𝟏𝟎 −𝟖 for code rate of 0.7 when tested for various code rates. The proposed algorithm also achieves reduced short cycles when compared with conventional LDPC encoding algorithm. Simulation results were verified by implementing the proposed algorithm in NI USRP Software Defined Radio. The SDR results verify that proposed algorithm provide low BER with reduced short cycles.