scispace - formally typeset
Search or ask a question

Showing papers by "Thomas L. Marzetta published in 2002"


Journal ArticleDOI
TL;DR: A random, but highly structured, constellation that is completely specified by log/sub 2/ L independent isotropically distributed unitary matrices is established, which establishes the limitations of an earlier construction through a subsidiary result that is interesting in its own right.
Abstract: We previously showed that arbitrarily reliable communication is possible within a single coherence interval in Rayleigh flat fading as the symbol duration of the coherence interval and the number of transmit antennas grow simultaneously. This effect, where the space-time signals act as their own channel codes, is called autocoding. For relatively short (e.g., 16-symbol) coherence intervals, a codebook of independent isotropically random unitary space-time signals theoretically supports transmission rates that are a significant fraction of autocapacity with an extremely low probability of error. The exploitation of space-time autocoding requires the creation and decoding of extraordinarily large constellations-typically L = 2/sup 80/. We make progress on the first part of the problem through a random, but highly structured, constellation that is completely specified by log/sub 2/ L independent isotropically distributed unitary matrices. The distinguishing property of this construction is that any two signals in the constellation are pairwise statistically independent and isotropically distributed. Thus, the pairwise probability of error, and hence the union bound on the block probability of error, of the structured constellation is identical to that of a fully random constellation of independent signals. We establish the limitations of an earlier construction through a subsidiary result that is interesting in its own right: the square (or for that matter, any integer power greater than one) of an isotropically random unitary matrix is not isotropically random, with the sole exception of the one-by-one unitary matrix.

66 citations