Blind Pilot Decontamination
Blind Pilot Decontamination
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DOI：
10.1109/jstsp.2014.2310053
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发表时间：
2013-09
影响因子：
7.5
通讯作者：
R. Müller;L. Cottatellucci;Mikko Vehkaperä
中科院分区：
文献类型：
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作者：
R. Müller;L. Cottatellucci;Mikko Vehkaperä
提出并分析了一个子空间投影，以改善大规模多ANTENNA系统中的通道估计。加上功率控制的交接，它可以减轻无需单元格之间的协调性而减轻飞行员污染问题。提出的方法是盲目的，因为它不需要试点数据才能找到适当的子空间。它基于大型随机矩阵的理论，该理论预测大型样品协方差矩阵的特征值光谱可以随着矩阵大小的增长而渐近地分解为脱节散装。随机矩阵和自由概率理论用于预测发生这样的批量分解的系统参数。提供了仿真结果，以确认如果发生散装分离，则提出的方法的表现优于常规线性通道估计。
A subspace projection to improve channel estimation in massive multi-antenna systems is proposed and analyzed. Together with power-controlled hand-off, it can mitigate the pilot contamination problem without the need for coordination among cells. The proposed method is blind in the sense that it does not require pilot data to find the appropriate subspace. It is based on the theory of large random matrices that predicts that the eigenvalue spectra of large sample covariance matrices can asymptotically decompose into disjoint bulks as the matrix size grows large. Random matrix and free probability theory are utilized to predict under which system parameters such a bulk decomposition takes place. Simulation results are provided to confirm that the proposed method outperforms conventional linear channel estimation if bulk separation occurs.