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On Capacity of Large-Scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas

机译:基于maTLaB的大规模mImO多址信道容量研究   分布式相关天线组

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摘要

In this paper, a deterministic equivalent of ergodic sum rate and analgorithm for evaluating the capacity-achieving input covariance matrices forthe uplink large-scale multiple-input multiple-output (MIMO) antenna channelsare proposed. We consider a large-scale MIMO system consisting of multipleusers and one base station with several distributed antenna sets. Each linkbetween a user and an antenna set forms a two-sided spatially correlated MIMOchannel with line-of-sight (LOS) components. Our derivations are based on noveltechniques from large dimensional random matrix theory (RMT) under theassumption that the numbers of antennas at the terminals approach to infinitywith a fixed ratio. The deterministic equivalent results (the deterministicequivalent of ergodic sum rate and the capacity-achieving input covariancematrices) are easy to compute and shown to be accurate for realistic systemdimensions. In addition, they are shown to be invariant to several types offading distribution.
机译:提出了确定遍历总速率和算法的确定等价物,用于评估上行链路大规模多输入多输出(MIMO)天线信道的容量实现输入协方差矩阵。我们考虑一种大型MIMO系统,该系统由多个用户和一个带有多个分布式天线组的基站组成。用户和天线组之间的每条链路均形成具有视线(LOS)分量的两侧空间相关MIMO信道。我们的推导是基于大型随机矩阵理论(RMT)的新颖技术,假设终端上的天线数量以固定比率接近无穷大。确定性等效结果(遍历求和率的确定性等效和实现容量的输入协方差矩阵)易于计算,并且对于实际的系统尺寸而言是准确的。另外,它们被证明对于几种类型的过时分布是不变的。

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