Holographic MIMO communication was proposed to sufficiently exploit the propagation characteristics of electromagnetic channels and boost the channel capacity. Unfortunately, the application of the electromagnetic theory to the electromagnetically large (compared to the wave-length) antenna arrays leads to a non-separable correlation structure for the small-scale fading due to the coupling effect between the transmit and receive antennas. Such a non-separable correlation structure poses challenging issues for characterizing the fundamental limits of holographic MIMO channels, which has not been tackled in the literature. In this paper, we investigate the distribution for the mutual information (MI) of holographic MIMO systems with the non-separable channel correlation, where both the line-of-sight and non-line-of-sight components are considered. We set up a central limit theorem for the MI by random matrix theory (RMT) and give the closed-form expressions for the mean and variance. The derived results are used to approximate the outage probability and reveal interesting physical insights regarding the impact of antenna spacing. It is shown that reducing antenna spacing will improve the ergodic MI and decrease the outage probability of holographic MIMO systems. The scaling law of the ergodic MI with respect to the antenna spacing is also derived. Numerical simulations validate the accuracy of the evaluation results.
翻译:全息多输入多输出(MIMO)通信被提出以充分利用电磁信道的传播特性,提高信道容量。然而,将电磁理论应用于电磁较大(相对于波长)的天线阵列会导致小尺度衰落的不可分离相关结构,这是由于发射和接收天线之间的耦合效应所导致的。这样的不可分离相关结构对于表征全息 MIMO 信道的基本限制构成了挑战,这在文献中尚未解决。在本文中,我们研究了具有不可分离通道相关性的全息 MIMO 系统互信息分布,考虑了直接视距和非直接视距组成部分。我们利用随机矩阵理论(RMT)设立了互信息的中心极限定理,并给出了均值和方差的闭式表达式。所得结果用于近似计算失效概率,并揭示了关于天线间距影响的有趣物理见解。结果表明,减小天线间距将提高全息 MIMO 系统的遍历互信息并降低失效概率。还推导了将遍历互信息与天线间距的比例尺的伸展定律。数值模拟验证了评估结果的准确性。