2007 IEEE International Conference on Communications 2007
DOI: 10.1109/icc.2007.693
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Spatial Data Multiplexing Over OFDM/OQAM Modulations

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Cited by 57 publications
(37 citation statements)
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“…Then, it can be readily verified that the interference symbol is pure imaginary. When considering (55), linear equalization designed on the basis of ZF and MMSE criteria, can be straightforwardly applied as described in [78]. The design is drastically simplified, if the equalization matrix A q ∈ C NR×NT targets the virtually transmitted vector …”
Section: ) Single-tap Equalizationmentioning
confidence: 99%
“…Then, it can be readily verified that the interference symbol is pure imaginary. When considering (55), linear equalization designed on the basis of ZF and MMSE criteria, can be straightforwardly applied as described in [78]. The design is drastically simplified, if the equalization matrix A q ∈ C NR×NT targets the virtually transmitted vector …”
Section: ) Single-tap Equalizationmentioning
confidence: 99%
“…Based on methods used and described in [4] for the ideal channel estimation case. The receiver referred as IOTA-SDM-IC1 in [4] treats the virtually transmitted symbols as the non-iterative receiver.…”
Section: Iterative Channel Estimationmentioning
confidence: 99%
“…Cyclic-prefix OFDM combined with SDM has been largely investigated since more than a decade. More recent publications have addressed the association of OFDM/OQAM [2], [3] where OQAM stands for Offset-QAM -with MIMO: in [4] iterative MMSE receivers are investigated and evaluated for OFDM/OQAM MIMO transceivers using SDM. In another paper from the same authors [5] a direct scheme using a basic channel estimation algorithm based on linear interpolation was presented and evaluated.…”
Section: Introductionmentioning
confidence: 99%
“…This incremental distortion effect in MIMO contexts has traditionally been mitigated using complex receiver strategies, such as sophisticated equalization architectures [5,6,7], or algorithms based on successive interference cancellation [8,9,7]. More recent approaches have additionally considered the optimization of the transmitter architecture in order to This work was partially supported by the Catalan and Spanish Government under grants 2009SGR1046 and TEC2011-29006-C03-01, and by the European Commission under the Emphatic project ICT-318362. mitigate the effect of the channel frequency selectivity.…”
Section: Introduction and Signal Modelmentioning
confidence: 99%