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arXiv 1710.03210cs.ITmath.IT
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基于极化码的强协调联合协调-信道编码

Joint Coordination-Channel Coding for Strong Coordination over Noisy Channels Based on Polar Codes

Sarah A. Obead, Jörg Kliewer, Badri N. Vellambi

摘要:

我们构建了一个联合协调信道极化编码方案,用于两个代理$\mathsf X$和$\mathsf Y$之间的强协调动作,它们通过离散无记忆信道(DMC)进行通信,使得动作的联合分布遵循规定的概率分布。我们表明,极化码能够实现我们先前建立的强噪声协调能力区域的内界,从而为随机编码证明提供了一个建设性的替代方案。我们的极化编码方案还提供了一个建设性的解决方案,其中的DMC和共享的随机性一起模拟另一个DMC的信道仿真问题。特别是,我们提出的解决方案是能够利用DMC的随机性,以减少在代理$\mathsf Y$生成的动作序列所需的本地随机性的量。通过利用我们早期的随机编码结果这个问题,我们得出结论,建议的联合协调信道编码方案严格优于一个单独的计划,在可实现的通信速率为相同数量的注入到两个系统的随机性。

英文摘要:

We construct a joint coordination-channel polar coding scheme for strong coordination of actions between two agents $\mathsf X$ and $\mathsf Y$, which communicate over a discrete memoryless channel (DMC) such that the joint distribution of actions follows a prescribed probability distribution. We show that polar codes are able to achieve our previously established inner bound to the strong noisy coordination capacity region and thus provide a constructive alternative to a random coding proof. Our polar coding scheme also offers a constructive solution to a channel simulation problem where a DMC and shared randomness are together employed to simulate another DMC. In particular, our proposed solution is able to utilize the randomness of the DMC to reduce the amount of local randomness required to generate the sequence of actions at agent $\mathsf Y$. By leveraging our earlier random coding results for this problem, we conclude that the proposed joint coordination-channel coding scheme strictly outperforms a separate scheme in terms of achievable communication rate for the same amount of injected randomness into both systems.

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