1 research outputs found
Non-Random Coding Error Exponent for Lattices
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, an error-exponent is derived
for specific lattice sequences (of increasing dimension) over the AWGN channel.
Measuring the sequence's gap to capacity, using the new exponent, is
demonstrated.Comment: A subset of this work was submitted to the IEEE International
Symposium on Information Theory (ISIT) 201