On Marton's inner bound for broadcast channels
Amin Gohari, Chandra Nair, Venkat Anantharam

TL;DR
This paper investigates the structure and properties of optimizers in Marton's inner bound for broadcast channels, proposing methods to evaluate and potentially prove its optimality, especially for binary and higher cardinality input alphabets.
Contribution
It formulates a factorization approach for Marton's inner bound, extends binary inequalities to larger alphabets, and characterizes the bound for specific channels.
Findings
Properties of optimizers can simplify evaluation of Marton's inner bound.
Binary inequalities can be extended to larger input alphabets.
A new inequality characterizes the Marton inner bound for the binary skew-symmetric channel.
Abstract
Marton's inner bound is the best known achievable region for a general discrete memoryless broadcast channel. To compute Marton's inner bound one has to solve an optimization problem over a set of joint distributions on the input and auxiliary random variables. The optimizers turn out to be structured in many cases. Finding properties of optimizers not only results in efficient evaluation of the region, but it may also help one to prove factorization of Marton's inner bound (and thus its optimality). The first part of this paper formulates this factorization approach explicitly and states some conjectures and results along this line. The second part of this paper focuses primarily on the structure of the optimizers. This section is inspired by a new binary inequality that recently resulted in a very simple characterization of the sum-rate of Marton's inner bound for binary input…
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Taxonomy
TopicsWireless Communication Security Techniques · DNA and Biological Computing · Diffusion and Search Dynamics
