{"title":"具有特征模划分的渐近MIMO人工噪声保密率","authors":"A. D. Harper, R. Baxley","doi":"10.1109/WIFS.2014.7084307","DOIUrl":null,"url":null,"abstract":"In a multiple-input multiple-output (MIMO) wiretap channel system, it has been shown that artificial noise can be transmitted in the null space of the main channel to guarantee the secrecy at the intended receiver. Previous formulas for MIMO asymptotic capacity assume that all channel eigenmodes will be utilized. However, optimizing over possible antenna configurations requires partitioning the available eigenmodes. With only some eigenmodes used for signal transmission, finding an exact closed-form asymptotic solution is, in general, intractable. We present a large-scale MIMO approximation with eigenmode partitioning, accurate for realistic numbers of antennas, and with greatly reduced computational complexity.","PeriodicalId":220523,"journal":{"name":"2014 IEEE International Workshop on Information Forensics and Security (WIFS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymptotic MIMO artificial-noise secrecy rates with eigenmode partitioning\",\"authors\":\"A. D. Harper, R. Baxley\",\"doi\":\"10.1109/WIFS.2014.7084307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a multiple-input multiple-output (MIMO) wiretap channel system, it has been shown that artificial noise can be transmitted in the null space of the main channel to guarantee the secrecy at the intended receiver. Previous formulas for MIMO asymptotic capacity assume that all channel eigenmodes will be utilized. However, optimizing over possible antenna configurations requires partitioning the available eigenmodes. With only some eigenmodes used for signal transmission, finding an exact closed-form asymptotic solution is, in general, intractable. We present a large-scale MIMO approximation with eigenmode partitioning, accurate for realistic numbers of antennas, and with greatly reduced computational complexity.\",\"PeriodicalId\":220523,\"journal\":{\"name\":\"2014 IEEE International Workshop on Information Forensics and Security (WIFS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Workshop on Information Forensics and Security (WIFS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIFS.2014.7084307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Workshop on Information Forensics and Security (WIFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIFS.2014.7084307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asymptotic MIMO artificial-noise secrecy rates with eigenmode partitioning
In a multiple-input multiple-output (MIMO) wiretap channel system, it has been shown that artificial noise can be transmitted in the null space of the main channel to guarantee the secrecy at the intended receiver. Previous formulas for MIMO asymptotic capacity assume that all channel eigenmodes will be utilized. However, optimizing over possible antenna configurations requires partitioning the available eigenmodes. With only some eigenmodes used for signal transmission, finding an exact closed-form asymptotic solution is, in general, intractable. We present a large-scale MIMO approximation with eigenmode partitioning, accurate for realistic numbers of antennas, and with greatly reduced computational complexity.