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dc.contributor.authorAbediseid, Walid
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-08-04T07:13:44Z
dc.date.available2015-08-04T07:13:44Z
dc.date.issued2013-06
dc.identifier.citationAbediseid, W., & Alouini, M.-S. (2013). Performance-complexity tradeoff in sequential decoding for the unconstrained AWGN channel. 2013 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2013.6655016
dc.identifier.isbn9781467331227
dc.identifier.issn15503607
dc.identifier.doi10.1109/ICC.2013.6655016
dc.identifier.urihttp://hdl.handle.net/10754/564722
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. © 2013 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://arxiv.org/abs/arXiv:1210.0516v2
dc.titlePerformance-complexity tradeoff in sequential decoding for the unconstrained AWGN channel
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentYoung Talent Development
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journal2013 IEEE International Conference on Communications (ICC)
dc.conference.date9 June 2013 through 13 June 2013
dc.conference.name2013 IEEE International Conference on Communications, ICC 2013
dc.conference.locationBudapest
dc.identifier.arxivid1210.0516
kaust.personAbediseid, Walid
kaust.personAlouini, Mohamed-Slim
dc.date.posted2012-10-01


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