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Title: New Iterative Frequency-Domain Detectors for IA-Precoded MC-CDMA Systems
Authors: Dinis, Rui
Silva, Adão
Assunção, José
Gameiro, Atílio
Farkas, Peter
Keywords: MC-CDMA
Frequency-domain equalization
Non-linear equalizers
Interference alignment
Issue Date: 2015
Publisher: Springer
Citation: Silva, A., Assunção, J., Dinis, R. et al. Wireless Pers Commun (2016) 86: 1183.
Abstract: The aim of this paper is to design new multi-user receivers based on the iterative block decision feedback equalization concept for MC-CDMA systems with closed-form interference alignment (IA) at the transmitted side. IA is a promising technique that allows high capacity gains in interfering channels. On the other hand, iterative frequency-domain detection receivers based on the IB-DFE concept can efficiently exploit the inherent space-frequency diversity of the MIMO MC-CDMA systems. In IA-precoded based systems the spatial streams are usually separated by using a standard linear MMSE equalizer. However, for MC-CDMA based systems, linear equalization is not the most efficient way of separating spatial streams due to the residual inter-carrier interference (ICI). Therefore, we design new non-linear iterative receiver structures to efficiently remove the aligned interference and separate the spatial streams in presence of residual ICI. Two strategies are considered: in the first one the equalizer matrices are obtained by minimizing the mean square error (MSE) of each individual data stream at each subcarrier, while in the second approach the matrices are computed by minimizing the overall MSE of all data streams at each subcarrier. We also propose an accurate analytical approach for obtaining the performance of the proposed receivers. Our schemes achieve the maximum degrees of freedom provided by the IA precoding, while allowing close-to-optimum space-diversity gain, with performance approaching the matched filter bound.
Peer Reviewed: yes
metadata.dc.identifier.doi: 10.1007/s11277-015-2982-1
ISSN: 1183-1199
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Appears in Collections:DCT - Artigos/Papers

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