1999
DOI: 10.1109/18.749010
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Universal bound on the performance of lattice codes

Abstract: We present a lower bound on the probability of symbol error for maximum-likelihood decoding of lattices and lattice codes on a Gaussian channel. The bound is tight for error probabilities and signal-to-noise ratios of practical interest, as opposed to most existing bounds that become tight asymptotically for high signal-to-noise ratios. The bound is also universal; it provides a limit on the highest possible coding gain that may be achieved, at specific symbol erro. r probabilities, using any lattice or lattic… Show more

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Cited by 69 publications
(72 citation statements)
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“…It is well known that the above probability expression depends on the shape of the Voronoi region. The bounds of such probability of error can be found in [16].…”
Section: Probability Of Error From Source To Relay Nodementioning
confidence: 99%
“…It is well known that the above probability expression depends on the shape of the Voronoi region. The bounds of such probability of error can be found in [16].…”
Section: Probability Of Error From Source To Relay Nodementioning
confidence: 99%
“…In this Section, we recall the basics of the SLB for infinite lattices S = Λ [7], [8] and we apply it to bound P f (ρ). The first simplification stems from the geometrical uniformity of lattices, which implies that [7], [8] …”
Section: Sphere Lower Bound Of a Faded Latticementioning
confidence: 99%
“…Due to the circular symmetry of the Gaussian noise, replacing V Λ (h) by an N-dimensional sphere B(h) of the same volume and radius R(h) [6], yields the corresponding SLB on the lattice performance [7], [8] …”
Section: Sphere Lower Bound Of a Faded Latticementioning
confidence: 99%
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