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

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.
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https://hal.inria.fr/hal-02139450
Contributor : Karim Abed-Meraim <>
Submitted on : Friday, May 24, 2019 - 4:52:16 PM
Last modification on : Wednesday, May 29, 2019 - 1:40:28 AM

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Yasser 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, IEEE comsoc, 2013, 2 (5), pp.551-554. ⟨10.1109/WCL.2013.071713.130413⟩. ⟨hal-02139450⟩

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