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On the Performance of Cell-Free Massive MIMO in Ricean Fading

机译:莱斯衰落中无小区大规模MIMO的性能研究

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We consider an uplink time-division duplex cell-free massive multiple-input multiple-output (MIMO) system in which many user equipments (UEs) are simultaneously served by many access points (APs) via simple matched filtering processing. The propagation channel is modeled via the Ricean distribution, which includes a dominant line-of-sight component on top of diffuse scattering. The Ricean K-factor of each link varies with the UE location (relative to the locations of the APs). The system performance in terms of the spectral efficiency is investigated taking into account imperfect channel knowledge. Power and AP-weighting control is exploited to maximize the lowest spectral efficiency across all UEs. This optimization problem can be efficiently solved via the bisection method by solving a sequence of linear feasibility problems together with the generalized eigen-value problem. We show that by optimally selecting the power control and AP-weighting coefficients, the per-UE throughput increases significantly. Furthermore, we propose an AP selection scheme to reduce the backhaul requirements in a cell-free massive MIMO system, with slight compromise in performance.
机译:我们考虑一种上行链路时分双工无蜂窝大规模多输入多输出(MIMO)系统,其中许多用户设备(UE)通过简单的匹配滤波处理同时由许多接入点(AP)服务。传播通道通过Ricean分布建模,该分布在漫散射的顶部包括一个主要的视线分量。每个链路的莱斯K因子随UE位置(相对于AP的位置)而变化。考虑到不完善的信道知识,研究了频谱效率方面的系统性能。利用功率和AP加权控制来最大化所有UE的最低频谱效率。该优化问题可以通过二等分方法有效地解决,它可以解决一系列线性可行性问题以及广义特征值问题。我们表明,通过最佳选择功率控制和AP加权系数,每UE吞吐量将显着增加。此外,我们提出了一种AP选择方案,以减少无蜂窝大规模MIMO系统中的回程需求,同时在性能上稍有妥协。

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