Title :
Evaluation of Marton´s Inner Bound for the General Broadcast Channel
Author :
Gohari, Amin Aminzadeh ; Anantharam, Venkat
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
Abstract :
The best known inner bound on the two-receiver general broadcast channel is due to Marton. However this region is not computable (except in certain special cases) as no bounds on the cardinality of its auxiliary random variables exist. Nor is it even clear that the inner bound is a closed set. The main obstacle in proving cardinality bounds is the fact that the traditional use of the Carathéodory theorem, the main known tool for proving cardinality bounds, does not yield a finite cardinality result. One of the main contributions of this paper is the introduction of a new tool based on an identity that relates the second derivative of the Shannon entropy of a discrete random variable (under a certain perturbation) to the corresponding Fisher information. In order to go beyond the traditional Carathéodory type arguments, we identify certain properties that the auxiliary random variables corresponding to the extreme points of the inner bound need to satisfy. These properties are then used to establish cardinality bounds on the auxiliary random variables of the inner bound, thereby proving the computability of the region, and its closedness. Lastly, we establish a conjecture of Nair and Zizhou that Marton´s inner bound and the recent outer bound of Nair and El Gamal do not match in general.
Keywords :
broadcast channels; channel capacity; information theory; radio receivers; Caratheodory theorem; Fisher information; Marton inner bound; Nair and El Gamal outer bound; Shannon entropy; auxiliary random variables; cardinality bounds; closed set; discrete random variable; finite cardinality result; two-receiver general broadcast channel; Encoding; Entropy; Equations; Joints; Random variables; Receivers; Vectors; Channel capacity; Marton´s inner bound; Nair and El Gamal outer bound; general broadcast channel; perturbation method;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2169537