Space-time spreading-multiplexing for MIMO antenna systems with blind detection using the PARATUCK-2 tensor decomposition

In this paper, we present a new space-time spreading-multiplexing model for Multiple-Input Multiple-Output (MIMO) wireless communication systems relying on a tensor modeling of the transmitted and received signals. At the transmitter, we exploit the core of a PARATUCK-2 tensor decomposition composed of a precoding matrix and two allocation matrices that allow to control the spreading-multiplexing of the data streams across the space dimension (transmit antennas) and time-dimension (time-slots). Consequently, different MIMO schemes combining space-time multiplexing and diversity can be derived from the proposed model. The algebraic structure of the PARATUCK-2 tensor model is then exploited at the receiver for a joint blind channel estimation and symbol detection. The bit-error-rate performance of different transmit schemes derived from the proposed model is evaluated by means of computer simulations.