Upper bounds on trellis complexity of lattices

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Abstract

Unlike block codes, n-dimensional lattices can have minimal trellis diagrams with an arbitrarily large number of states, branches, and paths. In particular, we show by a counterexample that there is no f(n), a function of n, such that all rational lattices of dimension n have a trellis with less than f(n) states. Nevertheless, using a theorem due to Hermite, we prove that every integral lattice A of dimension n has a trellis T, such that the total number of paths in T is upper-bounded by P(T) ≤ n!(2/√3) n2(n-1)/2 where V(ΛA) is the volume of Λ. Furthermore, the number of states at time i in T is upper-bounded by |S i| ≤ (2/√3) i2(n-1)/2V(Λ) 2i2/n. Although these bounds are seldom tight, these are the first known general upper bounds on trellis complexity of lattices. © 1997 IEEE.

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APA

Tarokh, V., & Vardy, A. (1997). Upper bounds on trellis complexity of lattices. IEEE Transactions on Information Theory, 43(4), 1294–1300. https://doi.org/10.1109/18.605598

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