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Linear precoding based on nonlinear high-power amplifier in massive MIMO

机译:大规模MIMO中基于非线性大功率放大器的线性预编码

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摘要

Massive multi-input multi-output has the advantages of high energy efficiency and spectrum use, but it also brings some problems because of cheap hardware use, such as high-power amplifier (HPA) nonlinearity. When the HPA operates in the nonlinear regime, nonlinear distortions, including amplitude and phase distortions, are introduced into the transmitted symbols, which in turn can cause adjacent channel interference and power losses. In this paper, we first study the deficiency of the conventional precoding algorithm when the HPA is nonlinear. Then, this paper proposes the improved precoding algorithms according to the effect of HPA nonlinearity on the signal, in which the adaptive factor is achieved to largely control the amplitude and phase distortions of the nonlinear HPA. Finally, the simulation results are provided and show that the proposed algorithms in this paper based on the relative block of diagonalization precoding and the forced zero precoding can efficiently decrease the bit error rate and increase the throughput, especially in the case of high signal-to-noise ratio.
机译:大规模多输入多输出具有高能效和频谱使用的优势,但是由于廉价的硬件使用(例如高功率放大器(HPA)非线性),也带来了一些问题。当HPA在非线性状态下工作时,包括幅度和相位失真在内的非线性失真会被引入到已传输的符号中,进而可能导致相邻信道干扰和功率损耗。在本文中,我们首先研究了HPA非线性时传统预编码算法的不足。然后,根据HPA非线性对信号的影响,提出了一种改进的预编码算法,在其中实现了自适应因子,可以在很大程度上控制非线性HPA的幅度和相位失真。最后,提供了仿真结果,表明本文所提出的基于对角化预编码和强制零预编码的相对块的算法可以有效地降低误码率并提高吞吐量,特别是在信噪比较高的情况下。 -噪声比。

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