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