{"title":"Experimental measurements of capacity for MIMO indoor wireless channels","authors":"A. Swindlehurst, G. German, J. Wallace, M. Jensen","doi":"10.1109/SPAWC.2001.923834","DOIUrl":null,"url":null,"abstract":"This paper presents the results of experiments obtained with a narrowband, multiple-input multiple-output (MIMO) channel probe in an indoor office/laboratory environment. The system employs ten transmit and ten receive antennas, and computes the 10/spl times/10 narrowband channel matrix at 2.4 GHz every 80 milliseconds. We use the data to study the distribution of the channel coefficients, their temporal variability, and the resulting effects on channel capacity. We also compare the empirical results with those predicted by WiSE, a state-of-the-art channel simulator based on ray-tracing from Lucent Technologies.","PeriodicalId":435867,"journal":{"name":"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2001.923834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
This paper presents the results of experiments obtained with a narrowband, multiple-input multiple-output (MIMO) channel probe in an indoor office/laboratory environment. The system employs ten transmit and ten receive antennas, and computes the 10/spl times/10 narrowband channel matrix at 2.4 GHz every 80 milliseconds. We use the data to study the distribution of the channel coefficients, their temporal variability, and the resulting effects on channel capacity. We also compare the empirical results with those predicted by WiSE, a state-of-the-art channel simulator based on ray-tracing from Lucent Technologies.