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arXiv 0902.3372cs.ITmath.IT
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高斯衰落是最糟糕的衰落

Gaussian Fading Is the Worst Fading

Tobias Koch, Amos Lapidoth

摘要:

研究了具有记忆的峰值功率受限、单天线、非相干、平坦衰落信道的容量。重点是容量预日志,即,在信道容量与信噪比(SNR)的对数的限制比上,因为SNR趋于无穷大。结果表明,在给定谱分布函数的平稳遍历衰落过程中,高斯过程产生的前对数最小,且其规律在零点处没有质量点。假设衰落过程的定律在零处没有质量点是必要的,因为存在平稳和遍历衰落过程,其定律在零处有质量点,并且产生比等谱分布函数的高斯过程更小的前对数。我们的结果扩展到多输入单输出衰落信道的记忆。

英文摘要:

The capacity of peak-power limited, single-antenna, noncoherent, flat-fading channels with memory is considered. The emphasis is on the capacity pre-log, i.e., on the limiting ratio of channel capacity to the logarithm of the signal-to-noise ratio (SNR), as the SNR tends to infinity. It is shown that, among all stationary & ergodic fading processes of a given spectral distribution function and whose law has no mass point at zero, the Gaussian process gives rise to the smallest pre-log. The assumption that the law of the fading process has no mass point at zero is essential in the sense that there exist stationary & ergodic fading processes whose law has a mass point at zero and that give rise to a smaller pre-log than the Gaussian process of equal spectral distribution function. An extension of our results to multiple-input single-output fading channels with memory is also presented.

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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