T. Lamahewa, R. Kennedy, T. Abhayapala, T. Betlehem
{"title":"MIMO Channel Correlation in General Scattering Environments","authors":"T. Lamahewa, R. Kennedy, T. Abhayapala, T. Betlehem","doi":"10.1109/AUSCTW.2006.1625262","DOIUrl":"https://doi.org/10.1109/AUSCTW.2006.1625262","url":null,"abstract":"This paper presents an analytical model for the fading channel correlation in general scattering environments. In contrast to the existing correlation models, our new approach treats the scattering environment as non-separable and it is modeled using a bi-angular power distribution. The bi-angular power distribution is parameterized by the mean departure and arrival angles, angular spreads of the univariate angular power distributions at the transmitter and receiver apertures, and a third parameter, the covariance between transmit and receive angles which captures the statistical interdependency between angular power distributions at the transmitter and receiver apertures. When this third parameter is zero, this new model reduces to the well known \"Kronecker\" model. Using the proposed model, we show that Kronecker model is a good approximation to the actual channel when the scattering channel consists of a single scattering cluster. In the presence of multiple remote scattering clusters we show that Kronecker model over estimates the performance by artificially increasing the number of multipaths in the channel.","PeriodicalId":206040,"journal":{"name":"2006 Australian Communications Theory Workshop","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128022320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Uncertainty principles for signal concentrations","authors":"R. Somaraju, L. Hanlen","doi":"10.1109/AUSCTW.2006.1625252","DOIUrl":"https://doi.org/10.1109/AUSCTW.2006.1625252","url":null,"abstract":"Uncertainty principles for concentration of signals into truncated subspaces are considered. The \"classic\" uncertainty principle is explored as a special case of a more general operator framework. The time-bandwidth concentration problem is shown as a similar special case. A spatial concentration of radio signals example is provided, and it is shown that an uncertainty principle exists for concentration of single-frequency signals for regions in space. We show that the uncertainty is related to the volumes of the spatial regions","PeriodicalId":206040,"journal":{"name":"2006 Australian Communications Theory Workshop","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}