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Low Complexity Hybrid Precoding Using Beam Steering for mm Wave MIMO Systems

机译:使用毫米波MIMO系统使用光束转向的低复杂性混合预编码

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Millimeter wave MIMO systems provide orders of magnitude in data rates due to larger bandwidth than conventional MIMO systems. On the other hand, they experience severe free-space pathloss as carrier frequency ten-fold increases. The resulting small wavelength helps to overcome pathloss with beamforming gain using massive antennas, known as precoding. In mmWave MIMO system, hybrid beamforming combines analog beamforming with digital precoding to reduce the energy consumption and complexity. Hybrid beamforming uses a smaller number of RF chains, which have large power consumption, than the number of antennas. In order to design analog and digital precoder, a large number of calculations such as the SVD of channel is required. In this paper, we propose low complexity hybrid precoding algorithm using beam steering, which utilizes array response vectors of the channel. We first propose the method of selection the analog beamforming matrix without any SVD or inversion of matrices. Then, we find the digital precoding matrix which performs a maximum of the total sum rate with fixed analog beamforming matrix. Since our proposed algorithm applies a set of array response vectors that are used to form the channel, there is no need for complicated operations as SVD like traditional precoding algorithms. Simulation results show that proposed algorithm can reduce the computational complexity while achieving about 93% the same performance in achievable rate compared to typical hybrid precoding in mmWave MIMO systems.
机译:毫米波MIMO系统由于较大的带宽而比传统的MIMO系统提供较大的带宽,提供数量级。另一方面,由于载流子频率为十倍的增加,它们经历了严重的自由空间路径。由此产生的小波长有助于使用大规模天线克服具有波束成形增益的路径损耗,称为预编码。在MMWAVE MIMO系统中,混合波束形成将模拟波束成形与数字预编码相结合,以降低能量消耗和复杂性。混合波束形成使用较少数量的RF链,其功耗大于天线的数量。为了设计模拟和数字预编码器,需要大量计算,例如信道的SVD。在本文中,我们使用光束转向提出了低复杂性混合预编码算法,其利用信道的阵列响应矢量。我们首先提出选择模拟波束形成矩阵的方法,而没有任何SVD或矩阵的反转。然后,我们发现数字预编码矩阵,其最大地执行具有固定模拟波束形成矩阵的总和速率。由于我们所提出的算法应用了一组用于形成通道的阵列响应向量,因此不需要复杂操作作为SVD,如传统的预编码算法。仿真结果表明,与MM波MIMO系统中的典型混合预编码相比,所提出的算法可以降低计算复杂性,同时实现了可实现的速率相同的性能约为93%。

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