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Correlated MIMO wireless channels: capacity, optimal signaling, and asymptotics

机译:关联的MIMO无线信道:容量,最佳信令和渐近性

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The capacity of the multiple-input multiple-output (MIMO) wireless channel with uniform linear arrays (ULAs) of antennas at the transmitter and receiver is investigated. It is assumed that the receiver knows the channel perfectly but that the transmitter knows only the channel statistics. The analysis is carried out using an equivalent virtual representation of the channel that is obtained via a spatial discrete Fourier transform. A key property of the virtual representation that is exploited is that the components of virtual channel matrix are approximately independent. With this approximation, the virtual representation allows for a general capacity analysis without the common simplifying assumptions of Gaussian statistics and product-form correlation (Kronecker model) for the channel matrix elements. A deterministic line-of-sight (LOS) component in the channel is also easily incorporated in much of the analysis. It is shown that in the virtual domain, the capacity-achieving input vector consists of independent zero-mean proper-complex Gaussian entries, whose variances can be computed numerically using standard convex programming algorithms based on the channel statistics. Furthermore, in the asymptotic regime of low signal-to-noise ratio (SNR), it is shown that beamforming along one virtual transmit angle is asymptotically optimal. Necessary and sufficient conditions for the optimality of beamforming, and the value of the corresponding optimal virtual angle, are also derived based on only the second moments of the virtual channel coefficients. Numerical results indicate that beamforming may be close to optimum even at moderate values of SNR for sparse scattering environments. Finally, the capacity is investigated in the asymptotic regime where the numbers of receive and transmit antennas go to infinity, with their ratio being kept constant. Using a result of Girko, an expression for the asymptotic capacity scaling with the number of antennas is obtained in terms of the two-dimensional spatial scattering function of the channel. This asymptotic formula for the capacity is shown to be accurate even for small numbers of transmit and receive antennas in numerical examples.
机译:研究了在发射器和接收器处具有天线的统一线性阵列(ULA)的多输入多输出(MIMO)无线信道的容量。假定接收机完全了解该信道,但是发射机仅了解信道统计信息。使用通过空间离散傅立叶变换获得的等效通道虚拟表示进行分析。被利用的虚拟表示的关键特性是虚拟通道矩阵的分量是近似独立的。通过这种近似,虚拟表示可以进行一般的容量分析,而无需对通道矩阵元素进行高斯统计和产品形式相关性(Kronecker模型)的通用简化假设。在很多分析中,通道中的确定性视线(LOS)组件也很容易合并。结果表明,在虚拟域中,容量实现输入向量由零均值固有复数高斯项组成,可以使用基于信道统计量的标准凸规划算法对它们的方差进行数值计算。此外,在低信噪比(SNR)的渐近状态下,显示出沿一个虚拟发射角的波束成形在渐近最优性。仅基于虚拟信道系数的第二矩,也得出了波束形成的最优性的必要条件和充分条件以及相应的最优虚拟角度的值。数值结果表明,即使在稀疏散射环境的SNR适中时,波束成形也可能接近最佳。最后,在渐近状态下研究容量,其中接收和发送天线的数量达到无穷大,并且它们的比率保持恒定。利用Girko的结果,根据信道的二维空间散射函数,获得了随着天线数量而渐近容量缩放的表达式。在数值示例中,即使对于少量的发射和接收天线,该容量的渐近公式也显示是准确的。

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