Title
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 extracting 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.
Year
DOI
Venue
2013
10.1109/WCL.2013.071713.130413
IEEE Wireless Commun. Letters
Keywords
Field
DocType
Interference,Decoding,Bit error rate,MIMO,Training,Receivers,Integrated circuit modeling
Mathematical optimization,Telecommunications,Co-channel interference,Algorithm,Interference (wave propagation),Transmission system,Decoding methods,Blind signal separation,Mathematics,Source separation,Channel state information,Multi-user
Journal
Volume
Issue
ISSN
2
5
2162-2337
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Yasser Fadlallah1384.19
Abdeldjalil Aïssa-El-Bey216225.10
Karim Abed-Meraim354083.25
Karine Amis400.34
Ramesh Pyndiah57917.12