Non-random coding error bounds for lattices

Yuval Domb, Meir Feder

Research output: Contribution to journalArticlepeer-review

Abstract

An upper bound on the error probability of specific lattices, based on their distance spectrum, is constructed. The derivation is accomplished using a simple alternative to the Minkowski-Hlawka mean-value theorem of the geometry of numbers. In many ways, the new bound greatly resembles the Shulman-Feder bound for linear codes. Based on the new bound, error-exponent and channel-dispersion expressions are derived for specific lattice sequences (of increasing dimension) over the AWGN channel. Measuring a sequence's gap to capacity, using the new asymptotics, is demonstrated. Additional finite dimension results, encountered along the way, are presented.

Original languageEnglish
Article number7312993
Pages (from-to)108-120
Number of pages13
JournalIEEE Transactions on Information Theory
Volume62
Issue number1
DOIs
StatePublished - 1 Jan 2016

Keywords

  • Error exponent
  • Error probability bounds
  • Maximum-likelihood decoding
  • Specific lattices

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