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Transmit Antenna Selection by Group Combination Precoding In Massive MIMO System

机译:大规模MIMO系统中分组组合预编码的发射天线选择。

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In this paper, we propose a new algorithm to select transmit antennas for precoding in a Massive MIMO system. At the Base Station (BS), the antennas are divided into subgroups with smaller dimensions. Then, they are selected based on the evaluation of the corresponding channel capacities. The groups, which give the best sum capacity, are selected for precoding process. To lower the complexity of antenna selection, we adopt the Singular Value Decomposition of channel matrices to compute the channel capacities. After the antennas are selected, the transmitted signal vector is precoded by the conventional Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) precoders before being transmitted to the users. Numerical and simulation results show that the proposed transmit antenna selection algorithm has remarkably lower complexity than the optimal one, yet at the cost of small degradation in the bit error rate (BER) performance of the system.
机译:在本文中,我们提出了一种在大规模MIMO系统中选择发射天线进行预编码的新算法。在基站(BS),天线被分成尺寸较小的子组。然后,基于对相应信道容量的评估来选择它们。选择提供最佳总容量的组进行预编码过程。为了降低天线选择的复杂度,我们采用信道矩阵的奇异值分解来计算信道容量。选择天线后,在将信号发送给用户之前,先通过传统的零强制(ZF)和最小均方误差(MMSE)预编码器对发送的信号矢量进行预编码。数值和仿真结果表明,所提出的发射天线选择算法的复杂度明显低于最佳算法,但代价是系统的误码率(BER)性能下降很小。

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