{"title":"The COST 273 MIMO Channel Model: Three Kinds of Clusters","authors":"N. Czink, Claude Oestges","doi":"10.1109/ISSSTA.2008.57","DOIUrl":null,"url":null,"abstract":"The novel COST 273 MIMO channel model is a good candidate for link-level and system-level simulations of multi-antenna communication systems. This geometry-based stochastic channel model is based on the concepts of multipath clusters, allowing for an implementation with low computational effort. The model is suitable to accurately reflect the frequency-selective, time-variant, fully-polarimetric nature of various propagation environments. Having only few external parameters, it is particularly interesting for signal processing engineers wanting to test their algorithms against realistic channels. A current shortcoming of the COST 273 MIMO channel model is its missing parametrisation for a number of scenarios. Particularly, the parametrisation of the cluster parameters is challenging, even more, since three different kinds of clusters are used to model the channel. This paper outlines an approach to consistently parametrise the clusters used in the COST 273 MIMO channel model from representative measurement data.","PeriodicalId":334589,"journal":{"name":"2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.2008.57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51
Abstract
The novel COST 273 MIMO channel model is a good candidate for link-level and system-level simulations of multi-antenna communication systems. This geometry-based stochastic channel model is based on the concepts of multipath clusters, allowing for an implementation with low computational effort. The model is suitable to accurately reflect the frequency-selective, time-variant, fully-polarimetric nature of various propagation environments. Having only few external parameters, it is particularly interesting for signal processing engineers wanting to test their algorithms against realistic channels. A current shortcoming of the COST 273 MIMO channel model is its missing parametrisation for a number of scenarios. Particularly, the parametrisation of the cluster parameters is challenging, even more, since three different kinds of clusters are used to model the channel. This paper outlines an approach to consistently parametrise the clusters used in the COST 273 MIMO channel model from representative measurement data.