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arXiv 1202.0898cs.ITmath.IT
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在马顿的广播频道的内部绑定

On Marton's inner bound for broadcast channels

Amin Gohari, Chandra Nair, Venkat Anantharam

摘要:

Marton的内界是一般离散无记忆广播信道最著名的可达区域。要计算马顿的内界,必须解决一个优化问题的一组联合分布的输入和辅助随机变量。在许多情况下,优化器都是结构化的。寻找优化器的性质不仅可以有效地评估区域,而且还可以帮助证明Marton内界的分解(从而证明其最优性)。本文的第一部分明确地阐述了这种分解方法,并沿着这条路线陈述了一些结构和结果。本文的第二部分主要关注优化器的结构。本节的灵感来自一个新的二进制不等式,最近导致了一个非常简单的表征马顿的内界二进制输入广播信道的总和率。这促使我们研究这个不等式是否可以扩展到更大的基数输入字母表。我们表明,一些结果的二进制输入的情况下进行更高的基数字母表,我们提出了一个集合的结果,有助于限制概率分布的搜索空间,以评估边界的马顿的内界在一般情况下。我们还证明了一个新的不等式的二进制斜对称广播信道,产生一个非常简单的表征整个马顿内界为这个通道。

英文摘要:

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 broadcast channels. This prompted us to investigate whether this inequality can be extended to larger cardinality input alphabets. We show that several of the results for the binary input case do carry over for higher cardinality alphabets and we present a collection of results that help restrict the search space of probability distributions to evaluate the boundary of Marton's inner bound in the general case. We also prove a new inequality for the binary skew-symmetric broadcast channel that yields a very simple characterization of the entire Marton inner bound for this channel.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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