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The capacity loss of uncorrelated equi-power Gaussian input over MIMO channel

机译:MIMO信道上不相关的等功率高斯输入的容量损失

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We investigate the capacity loss of an uncorrelated Gaussian input with equal power (i.i.d. Gaussian input) over a multi-input multi-output linear additive noise (not necessarily Gaussian nor memoryless) channel. Previous work showed that this input is the best input in the case of Gaussian noise, assuming the channel matrix is known at the receiver but unknown at the transmitter. We show that i.i.d. Gaussian is a robust input also when the noise is not Gaussian. Specifically, we show that for n/sub t/ transmit antennas and n/sub r/ receive antennas, the capacity loss of an i.i.d. Gaussian input is smaller than min{n/sub t//2, (n/sub r//2)log/sub 2/(1 + n/sub t//n/sub r/)} bits, for any noise and channel matrix. This bound is apparently not tight. Nevertheless, for the case of Gaussian noise we derive a stronger bound which is tight for a "critical" channel matrix: (n/sub r//2)log/sub 2/(n/sub t//n/sub r/) bits for 1/spl les/ n/sub r//spl les/(n/sub t//e) and (n/sub t//2)(log/sub 2/(e))/e bits for n/sub r//spl ges/(n/sub t//e).
机译:我们研究了多输入多输出线性加性噪声(不一定是高斯或无记忆)通道上具有相等功率(即高斯输入)的不相关高斯输入的容量损失。先前的工作表明,在高斯噪声的情况下,假设通道矩阵在接收器处已知但在发送器处未知,则此输入是最佳输入。我们证明我当噪声不是高斯时,高斯也是稳健的输入。具体来说,我们表明对于n / sub t /个发射天线和n / sub r /个接收天线,i.d。对于任何噪声,高斯输入小于min {n / sub t // 2,(n / sub r // 2)log / sub 2 /(1 + n / sub t // n / sub r /)}位,对于任何噪声和渠道矩阵。这个界限显然并不严格。尽管如此,对于高斯噪声,我们得出了一个更强的边界,对于“关键”信道矩阵来说,该边界是紧密的:(n / sub r // 2)log / sub 2 /(n / sub t // n / sub r / )1 / spl les / n / sub r // spl les /(n / sub t // e)和(n / sub t // 2)(log / sub 2 /(e))/ e位n / sub r // splges /(n / sub t // e)。

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