{"title":"深度学习辅助信道编码的当前趋势","authors":"Tuyet-Mai Dang, Eunyoung Cho, Sang-Hyo Kim","doi":"10.1109/ICTC55196.2022.9952535","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI)-aided approaches are emerging in solving physical layer communication problems. In this paper, we focus on applications of deep learning (DL) in channel coding for wireless communications and provide a survey on related topics. We describe various decoding problems of short linear codes and LDPC codes assisted by deep neural networks. The survey will be concluded with a list of future research directions.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"385 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Current Trends on Deep Learning-aided Channel Coding\",\"authors\":\"Tuyet-Mai Dang, Eunyoung Cho, Sang-Hyo Kim\",\"doi\":\"10.1109/ICTC55196.2022.9952535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI)-aided approaches are emerging in solving physical layer communication problems. In this paper, we focus on applications of deep learning (DL) in channel coding for wireless communications and provide a survey on related topics. We describe various decoding problems of short linear codes and LDPC codes assisted by deep neural networks. The survey will be concluded with a list of future research directions.\",\"PeriodicalId\":441404,\"journal\":{\"name\":\"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"385 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC55196.2022.9952535\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC55196.2022.9952535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Current Trends on Deep Learning-aided Channel Coding
Artificial intelligence (AI)-aided approaches are emerging in solving physical layer communication problems. In this paper, we focus on applications of deep learning (DL) in channel coding for wireless communications and provide a survey on related topics. We describe various decoding problems of short linear codes and LDPC codes assisted by deep neural networks. The survey will be concluded with a list of future research directions.
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