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MIMO channels in suburban environments at 300 MHz - analysis and modeling

Publiceringsår: 2012
Språk: Engelska
Publikation/Tidskrift/Serie: Technical report, Dept. of Electrical and Information Technology
Volym: 11
Dokumenttyp: Rapport
Förlag: Lund University


Realistic Multiple-Input Multiple-Outout (MIMO) radio channel models are required in order to make fair system comparisons and to design proper signal processing algorithms using this technology. This technical report presents a full parameterization of the COST 2100 MIMO channel model for peer-to-peer communication in the 300 MHz band. Measurements were carried out in a semi-rural and suburban environment for both line-of-sight (LOS) and non line-of-sight (NLOS) scenarios. The COST 2100 channel model is characterized and parameterized based on clusters. The KpowerMeans algorithm and a Kalman filter are used for identifying and tracking clusters from measurements. General issues regarding the parameterization for the COST 2100 model are analyzed and the key parameters are extracted. These parameters are used as the input to the validation processes, targeting delay spread, spatial correlation, singular value distribution as well as antenna correlation. The validation results show good agreement for delay spread and channel capacity between the COST 2100 model and the measurements for the outdoor environments.

Our findings suggest that the model has potential for modeling 300 MHz channel in outdoor environments, although some adjustments are needed for, e.g., the distribution of cluster delay spread and visibility regions. In order to study the concept of clusters in the COST 2100 channel model, a ray launching tool is developed based on the 300 MHz MIMO measurements and used for studying the physical scatterers and clustering. By using the measurement data, the physical scatterers on the propagation paths are visualized and grouped together. The ray launching tool can be used in further studies for clustering, extracting visibility regions of clusters, determining multi-bounce or single-bounce clusters etc. in the COST 2100 channel model.


  • Electrical Engineering, Electronic Engineering, Information Engineering


  • Radio Systems-lup-obsolete
  • ISSN: 1402-8840

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