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Least Mean Square Algorithm Analysis for a High Capacity Mobile Long Term Evolution Network.

机译:高容量移动长期演化网络的最小均方算法分析。

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Modern communication networks use MIMO to achieve high transmission data rates. A special case of MIMO is a technic called Beamforming [1], which allows formatting a radiation pattern of an antenna in order to improve the gain at a given direction. Beamforming uses adaptive filters to steer the beams in a desired direction. T he Least-Mean Square (LMS) [1] is an algorithm that performs this function of the adaptive filter. To perform the convergence of the algorithm, simulations will be performed in a Long-Term Evolution (LTE) mobile network.
机译:现代通信网络使用MIMO实现高传输数据速率。 MIMO的特殊情况是一种称为波束形成[1]的技术,其允许格式化天线的辐射图案以便在给定方向上提高增益。波束成形使用自适应滤波器以期望的方向转向光束。 T HE最小二乘(LMS)[1]是执行自适应滤波器的此功能的算法。为了执行算法的融合,将在长期演进(LTE)移动网络中执行仿真。

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