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dc.contributor.authorAbediseid, Walid
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2012-10-02T11:17:49Z
dc.date.available2012-10-02T11:17:49Z
dc.date.issued2012-10-01
dc.identifier.urihttp://hdl.handle.net/10754/246551
dc.description.abstractIn this paper, the performance limits and the computational complexity of the lattice sequential decoder are analyzed for the unconstrained additive white Gaussian noise channel. The performance analysis available in the literature for such a channel has been studied only under the use of the minimum Euclidean distance decoder that is commonly referred to as the lattice decoder. Lattice decoders based on solutions to the NP-hard closest vector problem are very complex to implement, and the search for low complexity receivers for the detection of lattice codes is considered a challenging problem. However, the low computational complexity advantage that sequential decoding promises, makes it an alternative solution to the lattice decoder. In this work, we characterize the performance and complexity tradeoff via the error exponent and the decoding complexity, respectively, of such a decoder as a function of the decoding parameter --- the bias term. For the above channel, we derive the cut-off volume-to-noise ratio that is required to achieve a good error performance with low decoding complexity.
dc.language.isoen
dc.publisherarXiv
dc.relation.urlhttp://arxiv.org/abs/1210.0516
dc.subjectLattice Theory
dc.subjectLattice Coding/Decoding
dc.subjectSequential Decoding
dc.subjectCapacity
dc.titleOn Lattice Sequential Decoding for The Unconstrained AWGN Channel
dc.typeTechnical Report
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentCommunication Theory Lab
dc.eprint.versionPre-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
refterms.dateFOA2018-06-14T06:20:37Z


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