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Mitigating Pilot Contamination by Pilot Reuse and Power Control Schemes for Massive MIMO Systems

机译:通过飞行员重用和功率控制方案来缓解大规模MIMO系统的飞行员污染

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The performance of massive multiple input multiple output systems may be limited by inter-cell pilot contamination (PC) unless appropriate PC mitigation or avoidance schemes are employed. In this paper we develop techniques based on existing long term evolution (LTE) measurements - open loop power control (OLPC) and pilot sequence reuse schemes, that avoid PC within a group of cells. We compare the performance of simple least-squares channel estimator with the higher-complexity minimum mean square error estimator, and evaluate the performance of the recently proposed coordinated pilot allocation (CPA) technique (which is appropriate in cooperative systems). The performance measures of interest include the normalized mean square error of channel estimation, the downlink signal-to-interference-plus-noise and spectral efficiency when employing maximum ratio transmission or zero forcing precoding at the base station. We find that for terminals moving at vehicular speeds, PC can be effectively mitigated in an operation and maintenance node using both the OLPC and the pilot reuse schemes. Additionally, greedy CPA provides performance gains only for a fraction of terminals, at the cost of degradation for the rest of the terminals and higher complexity. These results indicate that in practice, PC may be effectively mitigated without the need for second-order channel statistics or inter-cell cooperation.
机译:除非采用适当的PC缓解措施或避免措施,否则大型多输入多输出系统的性能可能会受到小区间先导污染(PC)的限制。在本文中,我们基于现有的长期演进(LTE)测量(开环功率控制(OLPC)和导频序列重用方案)开发了避免在一组小区中使用PC的技术。我们将简单最小二乘信道估计器与较高复杂度的最小均方误差估计器的性能进行比较,并评估最近提出的协调导频分配(CPA)技术的性能(适用于协作系统)。感兴趣的性能度量包括在基站采用最大比率传输或强制零编码时的信道估计的标准化均方误差,下行链路信号干扰加噪声和频谱效率。我们发现,对于以车辆速度移动的终端,可以同时使用OLPC和飞行员重用方案在运行和维护节点中有效缓解PC。此外,贪婪的CPA仅对一部分终端提供性能提升,但代价​​是其余终端的性能下降和复杂性更高。这些结果表明,在实践中,无需进行二阶信道统计或小区间协作即可有效缓解PC。

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