Nearest neighbor decoding for additive non-Gaussian noise channels

نویسنده

  • Amos Lapidoth
چکیده

We study the performance of a transmission scheme employing random Gaussian codebooks and nearest neighbor decoding over a power limited additive non-Gaussian noise channel. We show that the achievable rates depend on the noise distribution only via its power and thus coincide with the capacity region of a white Gaussian noise channel with signal and noise power equal to those of the original channel. The results are presented for single-user channels as well as multiple-access channels, and are extended to fading channels with side information at the receiver. Zndex TermsNearest neighbor decoding, Euclidean distance, mismatched decoding, multiple-access channel, generalized cutoff rate, fading.

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عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 42  شماره 

صفحات  -

تاریخ انتشار 1996