Title
An information-spectrum approach to the capacity region of general interference channel
Abstract
This paper is concerned with general interference channels characterized by a sequence of transition (conditional) probabilities. We present a general formula for the capacity region of the interference channel with two pairs of users. The formula shows that the capacity region is the union of a family of rectangles, where each rectangle is determined by a pair of spectral inf-mutual information rates. Although the presented formula is usually difficult to compute, it provides us useful insights into the interference channels. For example, the formula suggests us that the simplest inner bounds (obtained by treating the interference as noise) could be improved by taking into account the structure of the interference processes. This is verified numerically by computing the mutual information rates for Gaussian interference channels with embedded convolutional codes.
Year
DOI
Venue
2012
10.1109/ISIT.2012.6283914
ISIT
Keywords
DocType
Volume
gaussian channels,spectral inf-mutual information rates,interference processes,sequence of transition probability,channel coding,information-spectrum approach,inner bounds,general interference channel capacity region,embedded convolutional codes,gaussian interference channels,convolutional codes,interference (signal),probability,manganese,integrated circuits,decoding
Journal
abs/1201.6465
Issue
ISSN
ISBN
null
2157-8095 E-ISBN : 978-1-4673-2578-3
978-1-4673-2578-3
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Lei Lin162.90
Xiao Ma248764.77
Xiujie Huang3285.53
Baoming Bai435363.90