陶成^{1, 2,,},
郑文博¹,
李泳志¹,
刘留^{1, 2}
1.北京交通大学宽带无线移动通信研究所 ??北京 ??100044
2.东南大学移动通信国家重点实验室 ??南京 ??211189
基金项目:北京市科技新星计划(Z161100004916068)，国家自然科学基金(61471027)，东南大学移动通信国家重点实验室开放研究基金(2014D05, 2017D01)，北京市自然科学基金(4152043)

详细信息

作者简介:陶成：男，1963年生，教授，博士生导师，研究方向为无线通信、MIMO、扩频通信
郑文博：女，1994年生，硕士生，研究方向为大规模MIMO、1 bit量化
李泳志：男，1990年生，博士生，研究方向为大规模MIMO、1 bit量化、信号处理
刘留：男，1981年生，教授，研究方向为大规模MIMO、信道测量与建模、1 bit量化

通讯作者:陶成　 chtao@bjtu.edu.cn

中图分类号:TN929.5

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出版历程

收稿日期:2018-01-23
修回日期:2018-06-21
网络出版日期:2018-07-13
刊出日期:2018-10-01

Achievable Rate Analysis on Massive MIMO-OFDM Systems with Low-resolution ADC

Cheng TAO^{1, 2,,},
Wenbo ZHENG¹,
Yongzhi LI¹,
Liu LIU^{1, 2}
1. Institute of Broadband Wireless Mobile Communications, Beijing Jiaotong University, Beijing 100044, China
2. National Mobile Communications Research Laboratory, Southeast University, Nanjing 211189, China
Funds:Beijing Nova Programme (Z161100004916068), The National Natural Science Foundation of China (61471027), The Research Fund of National Mobile Communications Research Laboratory, Southeast University (2014D05, 2017D01), Beijing Natural Science Foundation (4152043)


摘要
摘要:该文针对大规模MIMO-OFDM系统，研究当基站端仅配备低精度模数转换器且采用最大比合并(MRC)接收算法时系统中用户可达速率的性能。通过采用加性量化噪声模型(AQNM)将非线性量化函数转化为线性量化函数，首先推导得出用户上行可达速率的闭式表达式。然后基于此表达式，将具备低精度模数转换器系统与传统具有无穷精度的模数转换器系统性能进行分析比较。最后将该文所得到的结果进行仿真分析。同时，该文还指出通过增加基站端天线数目可以弥补由于低精度模数转换器所造成的系统性能的损失。
关键词:MIMO-OFDM/
低精度量化/
加性量化噪声模型/
可达速率
Abstract:The achievable rate performance for the massive MIMO-OFDM system is investigated, where each antenna is equipped with low-resolution Analog-to-Digital Converters (ADC) and the Maximum Ratio Combining (MRC) receiver is assumed to be employed. The closed-form expression for the uplink achievable rate is firstly derived by using the Additive Quantization Noise Model (AQNM) model, which reforms the nonlinear quantization function into a linear one. Then the performance between the low-resolution quantization system and the conventional system with infinite resolution ADCs is compared based on the derived closed-form expression. Simulation results are presented to verify the analytical results. In addition, it is illustrated that the performance loss of using low-resolution ADCs can be compensated for by deploying more antennas at the base station.
Key words:MIMO-OFDM/
Low-resolution Analog-to-Digital Converters (ADC)/
Additive Quatization Noise Model (AQNM)/
Achievable rate



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