{"title":"使用复制分析和格拉斯曼变量的大型MIMO系统信道容量:封闭形式的解决方案","authors":"E. Khan, C. Heneghan","doi":"10.1109/PIMRC.2004.1368352","DOIUrl":null,"url":null,"abstract":"Multiinput multioutput (MIMO) system are today regarded as one of the most promising research areas in wireless communications. This is due to the fact that MIMO channel can offer a significant capacity gain over traditional single-input single-output (SISO) channel. When transmitting over MIMO channels, there are additional degrees of freedom with respect to SISO channels. This paper presents the capacity of an uncorrelated MIMO channel in high SNR regime. The expression for the large system MIMO capacity is calculated in closed form using replica analysis and Grassmann variables. It is assumed that the receiver has perfect knowledge of the channel but no such information is available at the transmitter.","PeriodicalId":201962,"journal":{"name":"2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Large MIMO system channel capacity using replica analysis and Grassmann variables: a closed form solution\",\"authors\":\"E. Khan, C. Heneghan\",\"doi\":\"10.1109/PIMRC.2004.1368352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiinput multioutput (MIMO) system are today regarded as one of the most promising research areas in wireless communications. This is due to the fact that MIMO channel can offer a significant capacity gain over traditional single-input single-output (SISO) channel. When transmitting over MIMO channels, there are additional degrees of freedom with respect to SISO channels. This paper presents the capacity of an uncorrelated MIMO channel in high SNR regime. The expression for the large system MIMO capacity is calculated in closed form using replica analysis and Grassmann variables. It is assumed that the receiver has perfect knowledge of the channel but no such information is available at the transmitter.\",\"PeriodicalId\":201962,\"journal\":{\"name\":\"2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.2004.1368352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2004.1368352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Large MIMO system channel capacity using replica analysis and Grassmann variables: a closed form solution
Multiinput multioutput (MIMO) system are today regarded as one of the most promising research areas in wireless communications. This is due to the fact that MIMO channel can offer a significant capacity gain over traditional single-input single-output (SISO) channel. When transmitting over MIMO channels, there are additional degrees of freedom with respect to SISO channels. This paper presents the capacity of an uncorrelated MIMO channel in high SNR regime. The expression for the large system MIMO capacity is calculated in closed form using replica analysis and Grassmann variables. It is assumed that the receiver has perfect knowledge of the channel but no such information is available at the transmitter.