{"title":"具有解码和转发中继的压缩协作通信","authors":"N. Jain, V. Bohara, Anubha Gupta","doi":"10.1109/COMSNETS.2016.7439938","DOIUrl":null,"url":null,"abstract":"The theory of compressive sensing (CS) is acquiring attraction now a days, as it can reconstruct a sparse signal at a sub-Nyquist sampling rate. Recently CS is being used in communication systems for channel estimation, Massive MIMO, cognitive radio etc. In this paper, CS is using in an overlay cooperative spectrum sharing scheme for decode and forward relay, to not only overcome the drawbacks of CSS but also to enhance the performance of the system in terms of achievable rate.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compressive cooperative communication with decode and forward relay\",\"authors\":\"N. Jain, V. Bohara, Anubha Gupta\",\"doi\":\"10.1109/COMSNETS.2016.7439938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The theory of compressive sensing (CS) is acquiring attraction now a days, as it can reconstruct a sparse signal at a sub-Nyquist sampling rate. Recently CS is being used in communication systems for channel estimation, Massive MIMO, cognitive radio etc. In this paper, CS is using in an overlay cooperative spectrum sharing scheme for decode and forward relay, to not only overcome the drawbacks of CSS but also to enhance the performance of the system in terms of achievable rate.\",\"PeriodicalId\":185861,\"journal\":{\"name\":\"2016 8th International Conference on Communication Systems and Networks (COMSNETS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th International Conference on Communication Systems and Networks (COMSNETS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSNETS.2016.7439938\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS.2016.7439938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compressive cooperative communication with decode and forward relay
The theory of compressive sensing (CS) is acquiring attraction now a days, as it can reconstruct a sparse signal at a sub-Nyquist sampling rate. Recently CS is being used in communication systems for channel estimation, Massive MIMO, cognitive radio etc. In this paper, CS is using in an overlay cooperative spectrum sharing scheme for decode and forward relay, to not only overcome the drawbacks of CSS but also to enhance the performance of the system in terms of achievable rate.