The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels
Paper in proceeding, 2016
We study the second-order asymptotics of informa- tion 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-neighbor decoding
Second orders
Information transmission
Gaussian noise (electronic)
Nearest neighbors
Non Gaussian channels
Decoding
Non-Gaussian noise
Gaussian interference
Information theory
Dispersions
Point to point
Engineering main heading: Gaussian distribution
Author
Jonathan Scarlett
Ecole Polytechnique Federale de Lausanne
Vincent Y. F. Tan
National University of Singapore
Giuseppe Durisi
Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner
IEEE International Symposium on Information Theory - Proceedings
21578095 (ISSN)
Vol. 2016-August 2664-2668 7541782978-1-5090-1806-2 (ISBN)
Areas of Advance
Information and Communication Technology
Driving Forces
Sustainable development
Subject Categories (SSIF 2011)
Communication Systems
Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/ISIT.2016.7541782
ISBN
978-1-5090-1806-2