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On an Achievable Rate of Large Rayleigh Block-Fading MIMO Channels With No CSI

机译:没有CSI的大瑞利衰落MIMO信道的可达到速率

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Training-based transmission over Rayleigh block-fading multiple-input multiple-output (MIMO) channels is investigated. As a training method a combination of a pilot-assisted scheme and a biased signaling scheme is considered. The achievable rates of successive decoding (SD) receivers based on the linear minimum mean-squared error (LMMSE) channel estimation are analyzed in the large-system limit, by using the replica method under the assumption of replica symmetry. It is shown that negligible pilot information is best in terms of the achievable rates of the SD receivers in the large-system limit. The obtained analytical formulas of the achievable rates can improve the existing lower bound on the capacity of the MIMO channel with no channel state information (CSI), derived by Hassibi and Hochwald, for all SNRs. The comparison between the obtained bound and a high-SNR approximation of the channel capacity, derived by Zheng and Tse, implies that the high-SNR approximation is unreliable unless quite high SNR is considered. Energy efficiency in the low-SNR regime is also investigated in terms of the power per information bit required for reliable communication. The required minimum power is shown to be achieved at a positive rate for the SD receiver with no CSI, whereas it is achieved in the zero-rate limit for the case of perfect CSI available at the receiver. Moreover, numerical simulations imply that the presented large-system analysis can provide a good approximation for not so large systems. The results in this paper imply that SD schemes can provide a significant performance gain in the low-to-moderate SNR regimes, compared to conventional receivers based on one-shot channel estimation.
机译:研究了瑞利块衰落多输入多输出(MIMO)信道上基于训练的传输。作为训练方法,考虑了导频辅助方案和有偏向信令方案的组合。在线性对称最小均方误差(LMMSE)信道估计的基础上,在复制对称的假设下,通过使用复制方法,分析了基于线性最小均方误差(LMMSE)信道估计的连续解码(SD)接收器可达到的速率。结果表明,就大系统限制而言,就SD接收机的可达到速率而言,可以忽略不计的导频信息是最好的。对于所有SNR,由Hassibi和Hochwald得出的,没有信道状态信息(CSI)的情况下,所获得的可实现速率的解析公式可以改善MIMO信道容量的现有下限。 Zheng和Tse得出的信道容量的高边界近似值与获得的边界近似值之间的比较表明,除非考虑到很高的SNR,否则高SNR近似值是不可靠的。还根据可靠通信所需的每个信息位的功率来研究低SNR方案中的能效。对于没有CSI的SD接收器,所需的最小功率显示为以正速率实现,而对于在接收器处可获得完美CSI的情况,则以零速率限制实现。而且,数值模拟表明,所提出的大型系统分析可以为不太大型的系统提供良好的近似值。与基于单次信道估计的传统接收器相比,本文的研究结果表明SD方案在低至中等SNR方案下可以提供显着的性能提升。

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