基于混合精度量化的空时编码大规模MIMO系统性能
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安徽大学电子信息工程学院,合肥 230601

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Performance of Mixed-ADCs Massive MIMO Systems with Space-time Coding
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School of Electronics and Information Engineering,Anhui University,Hefei 230601,China

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    摘要:

    本文提出空时编码与混合量化结合的方法在有效降低系统功耗的同时增加传输分集增益,并对基于混合ADC结构的空时编码大规模多输入多输出(Multiple input multiple output,MIMO)系统性能进行了研究。采用加性量化噪声模型对系统性能进行分析,得到系统频谱效率,利用随机矩阵理论得到频谱效率的近似表达式,并通过仿真验证表达式的准确性,基于表达式分析系统中各个参数对系统性能的影响。仿真结果表明,在接收端使用混合精度量化的结构可以有效地降低大规模MIMO系统的功率损耗以及实际部署的成本,而且采用空时编码后,系统的发射分集增益增加了一倍。

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    This paper proposes a method combining space-time coding and mixed-ADC architecture to reduce system power while increasing transmit diversity gain. Meanwhile, this paper analyzes the performance of mixed-ADCs massive MIMO system with space-time coding. By using the additive quantization noise model, we get the expression of the uplink spectral efficiency of the system. And random matrix theory is applied to derive approximate expression. Based on the approximate expression, we further analyze the impact on key system parameters. The simulation result shows that mixed-ADCs architecture can effectively reduce the power and cost of the massive MIMO system with space-time coding, and the transmit diversity gain of the system with space-time coding is double.

    表 3 系统功率仿真参数[18]Table 3 Simulation parameters of system power[18]
    表 2 系统仿真参数Table 2 Simulation parameters
    表 1 不同量化比特位数对应失真因子[11]Table 1 Distortion factor for different quantization bits[11]
    图1 两发多收的大规模MIMO系统模型图Fig.1 Mixed-ADCs massive MIMO system model
    图2 基于混合ADC结构的大规模MIMO系统接收机模型[5]Fig.2 Receiver in massive MIMO system with mixed-ADCs[5]
    图3 不同量化比特位数的系统上行频谱效率,M=200Fig.3 Spectral efficiency of massive MIMO system with STBC against different quantization bits where M=200
    图4 不同量化比特位数下的系统能量效率Fig.4 Energy efficiency of massive MIMO system with STBC against different quantization bits
    图5 系统频谱效率与接收机功耗,K=10 dB, b=1 bitFig.5 Trade-off between power consumption and spectral efficiency of massive MIMO system with STBC where K=10 dB, b=1 bit
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陈林,王传旭,王康,李学,张红伟.基于混合精度量化的空时编码大规模MIMO系统性能[J].数据采集与处理,2021,36(2):346-356

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  • 收稿日期:2020-04-23
  • 最后修改日期:2020-08-26
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  • 在线发布日期: 2021-04-15