Recursive Spatial Multiplexing with Adaptive Interference Whitening

Usama Y. Mohamad, Ibrahim A. Shah, Thomas Hunziker and Dirk H. Dahlhaus
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Usama Y. Mohamad: Communications Laboratory, University of Kassel, Kassel, Germany
Ibrahim A. Shah: Communications Laboratory, University of Kassel, Kassel, Germany
Thomas Hunziker: Communications Laboratory, University of Kassel, Kassel, Germany
Dirk H. Dahlhaus: Communications Laboratory, University of Kassel, Kassel, Germany

International Journal of Wireless Networks and Broadband Technologies (IJWNBT), 2017, vol. 6, issue 2, 43-59

Abstract: This article describes how recursive spatial multiplexing (RSM) is a closed-loop multiple-input multiple-output (MIMO) structure for achieving the capacity offered by MIMO channels with a low-complexity detector. The authors investigate how to make RSM able to provide a bit-error rate performance, which is robust against different types and levels of interference. The interference arising from simultaneous transmission of information signals is taken into account in the RSM scheme at the receiver using a whitening approach. Here, the covariance matrix is estimated and used subsequently for defining the retransmission subspace identifier to be fed back to the transmitter. The performance of this adaptive RSM scheme is compared with standard linear detection schemes like zero-forcing and minimum mean-squared error receivers. It turns out that the adaptive interference whitening substantially improves the bit-error rate performance. Moreover, adaptive RSM leads to a performance being independent of the correlation coefficient of the interference signals.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jwnbt0:v:6:y:2017:i:2:p:43-59

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