Design of Measurement-Based Stochastic Wideband MIMO Channel Simulators
In this paper, we propose a method for designing measurement-based stochastic models for simulating wideband multiple-input multiple-output (MIMO) wireless channels. The proposed method allows synthesizing channel transfer functions with the spatial-temporal-frequency correlation properties approxim...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | In this paper, we propose a method for designing measurement-based stochastic models for simulating wideband multiple-input multiple-output (MIMO) wireless channels. The proposed method allows synthesizing channel transfer functions with the spatial-temporal-frequency correlation properties approximating those of real-world radio channels. The parameters of a channel simulator are determined by fitting the space-time-frequency cross-correlation matrix of the simulation model to the estimated space-time-frequency cross-correlation matrix of a physical channel. For this purpose, an iterative parameter computation algorithm has been developed. The proposed design method is verified by creating stochastic channel simulators based on the time-variant frequency responses (TVFRs) of real-world channels measured in different propagation environments. |
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ISSN: | 1930-529X 2576-764X |
DOI: | 10.1109/GLOCOM.2009.5425314 |