2016 IEEE International Conference on Communications (ICC) 2016
DOI: 10.1109/icc.2016.7511493
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Four-dimensional constellations for dual-polarized satellite communications

Abstract: Abstract-In this paper, we investigate the performance of constellations optimized for transmissions in dual-polar mobile satellite applications. These four-dimensional constellations (inphase and quadrature per polarization) are designed for joint transmission over the two polarizations. Such constellations enhance the reliability of the system by providing certain redundancy into their design. Their performance is compared with transmission of independent 2D constellations over each polarization. As performa… Show more

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Cited by 4 publications
(3 citation statements)
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“…The constellation can be envisaged as a 4D constellation, where the points are placed in a hypercube. This constellation is often referred as the optimal, since it achieves the highest mutual information [34]. However, LAM constellations present major drawbacks compared to 3D PMod:…”
Section: Ber Analysismentioning
confidence: 99%
“…The constellation can be envisaged as a 4D constellation, where the points are placed in a hypercube. This constellation is often referred as the optimal, since it achieves the highest mutual information [34]. However, LAM constellations present major drawbacks compared to 3D PMod:…”
Section: Ber Analysismentioning
confidence: 99%
“…The error floors in the curves relative to 64-LAM and 64-EPPM testify that the chosen code is not suitable for these non-Cartesian constellations. Better results can be obtained by using numerically optimized constellations over the AWGN channel [23], or by considering fading channels, where the robustness stemming from the correlation between the polarizations introduced by the shaping can be exploited [24]. Since the main responsible for the losses for LAM and EPPM is the binary mapping, we have tested non-binary mappings for 64-LAM.…”
Section: A 4d Constellations In Fixed Scenariosmentioning
confidence: 99%
“…where the points are placed in a hypercube. This constellation is often referred as the optimal, since achieves the highest mutual information [MKM16]. However, LAM constellations present major drawbacks compared to 3D PMod:…”
Section: Ber Analysis 115mentioning
confidence: 99%