In this contribution we present a new analytical channel model for frequency selective, time variant MIMO systems. The model is based on a correlation tensor, which allows a natural description of multi-dimensional signals. By applying the Higher Order Singular Value Decomposition (HOSVD), we gain a better insight into the multi-dimensional eigen-structure of the channel. Applications of the model include the denoising of measured channels and the possibility to generate new synthetic channels displaying a given correlation in time, frequency, and space. The proposed model possesses advantages over existing 2-dimensional eigenmode-based channel models. In contrast to them, the tensor-based model can cope with frequency and time selectivity in a natural way.
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