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MAP decoder for physical-layer network coding using lattice sphere decoding

Authors: Asma Mejri; Ghaya Rekaya-Ben Othman;

MAP decoder for physical-layer network coding using lattice sphere decoding

Abstract

We focus in this work on optimal maximum a posteriori (MAP) decoding for lattice-based physical-layer network coding operating in Gaussian multiple access relay channels. We consider a general lattice design that makes our results hold for any lattice coding schemes of any dimensions including the Compute-and-Forward framework. By examining the MAP decoding rule, we first derive an analytical bound on the codeword error probability taking into consideration decoding errors at the relay. Besides, we derive a novel MAP decoding metric using which we develop a novel, practical and easy-to-implement MAP decoding algorithm based on lattice sphere decoding. We further provide numerical results that demonstrate the effectiveness of our algorithm and show its outperformance over existing suboptimal decoders.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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