Soft-Input Soft-Output Sphere Decoding

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dc.creatorStuder, Christoph
dc.creatorBölcskei, Helmut
dc.date2008-11-26
dc.date.accessioned2026-07-07T12:04:50Z
dc.date.available2026-07-07T12:04:50Z
dc.descriptionSoft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The associated computational complexity often poses significant challenges for practical receiver implementations, in particular in the context of multiple-input multiple-output wireless systems. In this paper, we present a low-complexity SISO sphere decoder which is based on the single tree search paradigm, proposed originally for soft-output detection in Studer et al., IEEE J-SAC, 2008. The algorithm incorporates clipping of the extrinsic log-likelihood ratios in the tree search, which not only results in significant complexity savings, but also allows to cover a large performance/complexity trade-off region by adjusting a single parameter.
dc.descriptionpresented at IEEE Int. Symposium on Information Theory (ISIT), Toronto, ON, Canada
dc.identifierhttps://arxiv.org/abs/0811.4354
dc.identifierhttp://arxiv.org/abs/0811.4354
dc.identifierIEEE Int. Symposium on Information Theory (ISIT), Toronto, ON, Canada, pp. 2007-2011, July 2008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208217
dc.subjectInformation Theory
dc.titleSoft-Input Soft-Output Sphere Decoding
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