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Journal Articles IEEE Wireless Communications Letters Year : 2013

Semi-Blind Source Separation in a Multi-User Transmission System with Interference Alignment

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Abstract

In this paper we address the decoding problem in the K-user MIMO interference channel assuming an interference alignment (IA) design. We aim to decode robustly the desired signal without having a full Channel State Information (CSI) (i.e. precoders knowledge) at the receivers. We show the equivalency between the IA model and the Semi-Blind Source Separation model (SBSS). Then, we prove that this equivalence allows the use of techniques employed in source separation for extractin the desired signal free of interference, even though dependency exists between some components of the source signal in the SBSS model. Our simulation results illustrate a BER performance very close to the MMSE receiver with full-CSI.

Dates and versions

hal-02139450 , version 1 (24-05-2019)

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Cite

Yasser S Fadlallah, Abdeldjalil Aissa El Bey, Karim Abed-Meraim, Karine Amis, Ramesh Pyndiah. Semi-Blind Source Separation in a Multi-User Transmission System with Interference Alignment. IEEE Wireless Communications Letters, 2013, 2 (5), pp.551-554. ⟨10.1109/WCL.2013.071713.130413⟩. ⟨hal-02139450⟩
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