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

机译:几乎所有输入序列的固定高斯衰落信道的条件每符号熵的收敛性

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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:在当前工作中,考虑了在发射机和接收机处具有未知信道状态信息的离散时间固定瑞利平坦衰落信道。假定信道定律在接收机处是已知的,并且衰落过程假定为具有绝对可加自相关函数的平稳高斯过程。在给定输入的情况下,输出的条件每符号熵显示为收敛到i.i.d的几乎每个实现的常数。输入变量。这意味着存在相应的条件熵率。此外,得出了一个新的不等式,该不等式产生了速率的下限。

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