{"title":"基于Reed-Solomon码的联合编码方案","authors":"Hao Wang, Wei Zhang, Yanyan Liu","doi":"10.1109/ICCCS52626.2021.9449143","DOIUrl":null,"url":null,"abstract":"The joint source-channel coding (JSCC) scheme is applicable to the resource-constrained, real-time, time-varying and low-cost communications. A high-efficient JSCC scheme based on Reed-Solomon (RS) codes is proposed, which can reduce the amount of data transmitted and ensure the reliability of communication system. In addition, a low complexity joint source-channel decoder is proposed, which can implement signal reconstruction and channel decoding through one circuit with high efficiency. The results illustrate that our decoder only needs about 41.1k gates and operates at 500 MHz to achieve the throughput of 3.05 Gb/s, which can be applied to the scenarios of Internet of Things (IoT) and Artificial Intelligence (AI).","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Joint Coding Scheme Based on Reed-Solomon Codes\",\"authors\":\"Hao Wang, Wei Zhang, Yanyan Liu\",\"doi\":\"10.1109/ICCCS52626.2021.9449143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The joint source-channel coding (JSCC) scheme is applicable to the resource-constrained, real-time, time-varying and low-cost communications. A high-efficient JSCC scheme based on Reed-Solomon (RS) codes is proposed, which can reduce the amount of data transmitted and ensure the reliability of communication system. In addition, a low complexity joint source-channel decoder is proposed, which can implement signal reconstruction and channel decoding through one circuit with high efficiency. The results illustrate that our decoder only needs about 41.1k gates and operates at 500 MHz to achieve the throughput of 3.05 Gb/s, which can be applied to the scenarios of Internet of Things (IoT) and Artificial Intelligence (AI).\",\"PeriodicalId\":376290,\"journal\":{\"name\":\"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCS52626.2021.9449143\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS52626.2021.9449143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The joint source-channel coding (JSCC) scheme is applicable to the resource-constrained, real-time, time-varying and low-cost communications. A high-efficient JSCC scheme based on Reed-Solomon (RS) codes is proposed, which can reduce the amount of data transmitted and ensure the reliability of communication system. In addition, a low complexity joint source-channel decoder is proposed, which can implement signal reconstruction and channel decoding through one circuit with high efficiency. The results illustrate that our decoder only needs about 41.1k gates and operates at 500 MHz to achieve the throughput of 3.05 Gb/s, which can be applied to the scenarios of Internet of Things (IoT) and Artificial Intelligence (AI).