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。
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.
作者
陈林
王传旭
王康
李学
张红伟
CHEN Lin;WANG Chuanxu;WANG Kang;LI Xue;ZHANG Hongwei(School of Electronics and Information Engineering,Anhui University,Hefei 230601,China)
出处
《数据采集与处理》
CSCD
北大核心
2021年第2期346-356,共11页
Journal of Data Acquisition and Processing
