The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels
Paper i proceeding, 2016
We study the second-order asymptotics of information transmission using random Gaussian codebooks and nearest neighbor (NN) decoding over a power-limited additive stationary memoryless non-Gaussian channel. We show that the dispersion term depends on the non-Gaussian noise only through its second and fourth moments. We also characterize the second-order performance of point-to-point codes over Gaussian interference networks. Specifically, we assume that each user’s codebook is Gaussian and that NN decoding is employed, i.e., that interference from unintended users is treated as noise at each decoder.
Nearest neighbors
Information transmission
Gaussian noise (electronic)
Engineering main heading: Gaussian distribution
Gaussian interference
Point to point
Information theory
Non Gaussian channels
Decoding
Dispersions
Second orders
Non-Gaussian noise
Nearest-neighbor decoding
Författare
Jonathan Scarlett
Ecole Polytechnique Federale de Lausanne (EPFL)
Vincent Y. F. Tan
Universiti Kebangsaan Singapura (NUS)
Giuseppe Durisi
Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk
IEEE International Symposium on Information Theory - Proceedings
21578095 (ISSN)
Vol. 2016-August 2664-2668 7541782Chalmers Sweden - NUS Singapore. Joint Strategic Project for Education and Research in Human-Computer interaction
STINT (2013-019), 2013-10-31 -- 2015-10-31.
Styrkeområden
Informations- och kommunikationsteknik
Drivkrafter
Hållbar utveckling
Ämneskategorier
Kommunikationssystem
Elektroteknik och elektronik
DOI
10.1109/ISIT.2016.7541782