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Nearest neighbor decoding for additive non-Gaussian noise channels

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1 Author(s)
Lapidoth, A. ; Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA

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

Published in:

Information Theory, IEEE Transactions on  (Volume:42 ,  Issue: 5 )

Date of Publication:

Sep 1996

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