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首页> 外文期刊>IEEE Transactions on Information Theory >Joint Source–Channel Codes for MIMO Block-Fading Channels
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Joint Source–Channel Codes for MIMO Block-Fading Channels

机译:MIMO衰落信道的联合源信道代码

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We consider transmission of a continuous amplitude source over an $L$-block Rayleigh-fading $M_t times M_r$ multiple-input multiple-output (MIMO) channel when the channel state information is only available at the receiver. Since the channel is not ergodic, Shannon''''s source–channel separation theorem becomes obsolete and the optimal performance requires a joint source–channel approach. Our goal is to minimize the expected end-to-end distortion, particularly in the high signal-to-noise ratio (SNR) regime. The figure of merit is the distortion exponent, defined as the exponential decay rate of the expected distortion with increasing SNR. We provide an upper bound and lower bounds for the distortion exponent with respect to the bandwidth ratio among the channel and source bandwidths. For the lower bounds, we analyze three different strategies based on layered source coding concatenated with progressive superposition or hybrid digital/analog transmission. In each case, by adjusting the system parameters we optimize the distortion exponent as a function of the bandwidth ratio. We prove that the distortion exponent upper bound can be achieved when the channel has only one degree of freedom, that is $L=1$, and $min{M_t,M_r}=1$ . When we have more degrees of freedom, our achievable distortion exponents meet the upper bound for only certain ranges of the bandwidth ratio. We demonstrate that our results, which were derived for a complex Gaussian source, can be extended to more general source distributions as well.
机译:当信道状态信息仅在接收器处可用时,我们考虑在$ L $块瑞利衰落$ M_t乘以M_r $多输入多输出(MIMO)信道上传输连续幅度源。由于通道不是遍历遍历的,因此Shannon的源-通道分离定理已过时,并且最佳性能需要采用联合的源-通道方法。我们的目标是最大程度地减少预期的端到端失真,尤其是在高信噪比(SNR)方案中。品质因数是失真指数,定义为随着SNR的提高,预期失真的指数衰减率。对于通道和源带宽之间的带宽比率,我们提供了失真指数的上限和下限。对于下限,我们基于分层源编码与渐进叠加或混合数字/模拟传输相结合来分析三种不同的策略。在每种情况下,通过调整系统参数,我们都可以根据带宽比率优化失真指数。我们证明,当通道只有一个自由度,即$ L = 1 $,并且$ min {M_t,M_r} = 1 $时,可以实现失真指数上限。当我们具有更大的自由度时,我们可实现的失真指数仅满足带宽比率的某些范围的上限。我们证明了从复杂的高斯源得出的结果也可以扩展到更一般的源分布。

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