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Convergence of the conditional per symbol entropy for stationary Gaussian fading channels for almost all input sequences

机译:用于几乎所有输入序列的静止高斯衰落通道条件的条件的收敛性

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In the present work, a discrete-time stationary Rayleigh flat-fading channel with unknown channel state information at the transmitter and the receiver is considered. The law of the channel is assumed to be known at the receiver and the fading process is supposed to be a stationary Gaussian process with an absolutely summable autocorrelation function. The conditional per symbol entropy of the output given the input is shown to converge to a constant for almost every realization of i.i.d. input variables. This implies the existence of the corresponding conditional entropy rate. Moreover, a novel inequality yielding a lower bound for the rate is derived.
机译:在本作工作中,考虑了在发射器和接收器处具有未知信道状态信息的离散时间静止瑞利渐流通道。 假设在接收器处知道信道的定律,并且衰落过程应该是具有绝对可相当的自相关函数的静止高斯过程。 给定输入的输出的每个符号熵的条件被显示为几乎每次实现I.I.D的常数收敛到常数。 输入变量。 这意味着存在相应的条件熵率。 此外,推导了一种新的不等式,产生速率下限。

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