The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels
Paper in 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
Author
Jonathan Scarlett
Swiss Federal Institute of Technology in Lausanne (EPFL)
Vincent Y. F. Tan
National University of Singapore (NUS)
Giuseppe Durisi
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
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
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT) (2013-019), 2013-10-31 -- 2015-10-31.
Areas of Advance
Information and Communication Technology
Driving Forces
Sustainable development
Subject Categories
Communication Systems
Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/ISIT.2016.7541782