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Combining superposition coding and binning achieves capacity for the Gaussian cognitive interference channel

机译:叠加编码和合并的组合可实现高斯认知干扰信道的容量

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The cognitive interference channel models cognitive overlay radio systems, in which cognitive radios overhear the transmission of neighboring nodes. For the Gaussian case capacity is known in three subsets of the parameter space: the “weak interference”, “very strong interference” and “primary decodes cognitive” regime. Capacity in the “very strong interference” regime is achieved by superposing the cognitive message over the primary message while in the “primary decodes cognitive” regime the cognitive message is binned against the primary message. This paper provides a new capacity result obtained by combining the capacity achieving schemes in these two regimes thus generalizing and extending these results. Interestingly, the capacity achieving strategy for a given channel also depends on the level of cooperation among the users: that is, either superposition coding or binning is employed depending on the amount of power allotted by the cognitive transmitter to aid the primary user.
机译:认知干扰信道对认知覆盖无线电系统进行建模,其中认知无线电会监听相邻节点的传输。对于高斯情况,容量在参数空间的三个子集中是已知的:“弱干扰”,“非常强干扰”和“主要解码认知”机制。通过将认知消息叠加在主要消息上来实现“非常强烈干扰”状态下的容量,而在“主要解码认知”状态下,将认知消息与主要消息进行合并。本文提供了一种通过结合这两种方案中的能力实现方案而获得的新的能力结果,从而对这些结果进行了概括和扩展。有趣的是,给定信道的容量实现策略还取决于用户之间的合作水平:即,取决于认知发射机为辅助主要用户分配的电量,采用叠加编码或合并。

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