基于混合精度模数转换器的大规模MIMO-OFDM系统性能分析

刘凯; 陈贵潮; 陶成; 周涛

doi:10.11999/JEIT181136

基于混合精度模数转换器的大规模MIMO-OFDM系统性能分析

doi: 10.11999/JEIT181136

刘凯¹,
陈贵潮¹,
陶成¹,
周涛^{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: 国家自然科学基金(61701017)，中央高校基本科研业务费专项资金(2018JBM003)，北京市自然科学基金(4174102)，东南大学移动通信国家重点实验室开放研究基金(2018D11)

详细信息

作者简介:
刘凯：男，1987年生，博士生，研究方向为大规模MIMO

陈贵潮：男，1996年生，硕士生，研究方向为大规模MIMO、低精度量化

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

周涛：男，1988年生，副教授，研究方向为信道测量与建模

通讯作者:
周涛　taozhou@bjtu.edu.cn

中图分类号: TN929.5
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- 被引次数: 0
出版历程
- 收稿日期: 2018-12-10
- 修回日期: 2019-02-02
- 网络出版日期: 2019-06-01
- 刊出日期: 2019-11-01

Performance Analysis of Massive MIMO-OFDM System with Mixed-precision Analog-to-digital Converter

Kai LIU¹,
Guichao CHEN¹,
Cheng TAO¹,
Tao ZHOU^{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: The National Natural Science Foundation of China (61701017), The Fundamental Research Funds for the Central Universities (2018JBM003), The Beijing Natural Science Foundation (4174102), The Research Fund of National Mobile Communications Research Laboratory, Southeast University (2018D11)

摘要

摘要: 该文对在接收端使用混合精度的模数转换器且采用迫零接收算法的大规模MIMO-OFDM系统的上行链路的频谱效率和能量效率进行了研究。采用加性量化噪声模型来对系统的性能进行分析，推导出整个系统的频谱效率和能量效率的近似闭式表达式，并通过仿真证明了表达式的正确性。研究结果表明，系统的频谱效率和每个用户的发送功率，接收端天线数目和接收端量化精度有关。数值和仿真结果还表明可以通过增加基站端的天线数量来补偿由低精度模数转换器带来的性能损失。
- MIMO-OFDM /
- 混合精度量化 /
- 频谱效率 /
- 能量效率
Abstract: The spectral efficiency and energy efficiency of the uplink of massive MIMO-OFDM system is studied using mixed-precision Analog-Digital Converter (ADC) and Zero-Forcing (ZF) reception algorithm at the receiver. By using the additive quantization noise model to analyze the performance of the system, the approximate closed expression of the spectral efficiency and energy efficiency of the whole system is derived, and the correctness of the expression is proved by simulation. The research results show that the spectral efficiency of the system is related to the transmission power of each user, the number of antennas at the receiver and the quantization accuracy of the receiver. Numerical and simulation results also show that the performance loss caused by the low-precision ADC can be compensated by increasing the number of antennas at the base station.
- MIMO-OFDM /
- Mixed-precision quantification /
- Spectral efficiency /
- Energy efficiency

HTML全文

图 1 混合ADC大规模MIMO-OFDM系统接收端模型

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图 2 上行链路用户平均速率随用户发射功率的曲线变化

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图 3 上行链路用户平均可达速率随量化精度b的曲线变化

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图 4 上行链路用户平均可达速率随$\gamma $的曲线变化

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图 5 上行链路用户平均速率随基站天线数目的曲线变化

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图 6 大规模MIMO-OFDM系统能量效率和量化精度的关系

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图 7 大规模MIMO-OFDM系统能量效率和基站天线数目的关系

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图 8 ${\rho _{\rm{u}}} $=10 dB时系统总功耗和总频谱效率之间的关系

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表 1 不同量化精度的失真因子

b(bit) 1 2 3 4 5

$\rho $ 0.3634 0.1175 0.0345 0.0095 0.0025

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参考文献(18)

BOCCARDI F, HEATH R W, LOZANO A, et al. Five disruptive technology directions for 5G[J]. IEEE Communications Magazine, 2014, 52(2): 74–80. doi: 10.1109/MCOM.2014.6736746

LARSSON E G, EDFORS O, TUFVESSON F, et al. Massive MIMO for next generation wireless systems[J]. IEEE Communications Magazine, 2014, 52(2): 186–195. doi: 10.1109/MCOM.2014.6736761

MARZETTA T L. Noncooperative cellular wireless with unlimited numbers of base station antennas[J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3590–3600. doi: 10.1109/TWC.2010.092810.091092

SINGH J, DABEER O, and MADHOW U. On the limits of communication with low-precision analog-to-digital conversion at the receiver[J]. IEEE Transactions on Communications, 2009, 57(12): 3629–3639. doi: 10.1109/TCOMM.2009.12.080559

LI Yongzhi, TAO Cheng, SECO-GRANADOS G, et al. Channel estimation and performance analysis of one-bit massive MIMO systems[J]. IEEE Transactions on Signal Processing, 2017, 65(15): 4075–4089. doi: 10.1109/TSP.2017.2706179

LI Yongzhi, TAO Cheng, LEE SWINDLEHURST A, et al. Downlink achievable rate analysis in massive MIMO systems with one-bit DACs[J]. IEEE Communications Letters, 2017, 21(7): 1669–1672. doi: 10.1109/LCOMM.2017.2687871

FAN Li, JIN Shi, WEN Chaokai, et al. Uplink achievable rate for massive MIMO systems with low-resolution ADC[J]. IEEE Communications Letters, 2015, 19(12): 2186–2189. doi: 10.1109/LCOMM.2015.2494600

QIAO Dan, TAN Weiqiang, ZHAO Yuyan, et al. Spectral efficiency for massive MIMO zero-forcing receiver with low-resolution ADC[C]. Proceedings of the 20168th International Conference on Wireless Communications & Signal Processing, Yangzhou, China, 2016: 1–6. doi: 10.1109/WCSP.2016.7752527.

ZHANG Mengjiao, TAN Weiqiang, GAO Junhui, et al. Power allocation for multicell mixed-ADC massive MIMO systems in Rician fading channels[C]. Proceedings of the 20179th International Conference on Wireless Communications and Signal Processing, Nanjing, China, 2017: 1–6. doi: 10.1109/WCSP.2017.8171074.

ZHANG Jiayi, DAI Linglong, HE Ziyan, et al. Performance analysis of mixed-ADC massive MIMO systems over Rician fading channels[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(6): 1327–1338. doi: 10.1109/JSAC.2017.2687278

ZHANG Mengjiao, TAN Weiqiang, GAO Junhui, et al. Spectral efficiency and power allocation for mixed-ADC massive MIMO system[J]. China Communications, 2018, 15(3): 112–127. doi: 10.1109/CC.2018.8331995

PITAROKOILIS A, BJÖRNSON E, and LARSSON E G. Performance of the massive MIMO uplink with OFDM and phase noise[J]. IEEE Communications Letters, 2016, 20(8): 1595–1598. doi: 10.1109/LCOMM.2016.2581169

ZAIB A, MASOOD M, ALI A, et al. Distributed channel estimation and pilot contamination analysis for massive MIMO-OFDM systems[J]. IEEE Transactions on Communications, 2016, 64(11): 4607–4621. doi: 10.1109/TCOMM.2016.2593924

ZAIB A, MASOOD M, GHOGHO M, et al. Distributive estimation of frequency selective channels for massive MIMO systems[C]. Proceedings of the 201523rd European Signal Processing Conference, Nice, France, 2015: 889–893. doi: 10.1109/EUSIPCO.2015.7362511.

ORHAN O, ERKIP E, and RANGAN S. Low power analog-to-digital conversion in millimeter wave systems: Impact of resolution and bandwidth on performance[C]. Proceedings of 2015 Information Theory and Applications Workshop, San Diego, USA, 2015: 191–198. doi: 10.1109/ITA.2015.7308988.

SHARIATI N, BJÖRNSON E, BENGTSSON M, et al. Low-complexity channel estimation in large-scale MIMO using polynomial expansion[C]. Proceedings of the 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, London, UK, 2013: 1157–1162. doi: 10.1109/PIMRC.2013.6666313.

NGO H Q, LARSSON E G, and MARZETTA T L. Energy and spectral efficiency of very large multiuser MIMO systems[J]. IEEE Transactions on Communications, 2013, 61(4): 1436–1449. doi: 10.1109/TCOMM.2013.020413.110848

MO Jianhua, ALKHATEEB A, ABU-SURRA S, et al. Hybrid architectures with few-bit ADC receivers: Achievable rates and energy-rate tradeoffs[J]. IEEE Transactions on Wireless Communications, 2017, 16(4): 2274–2287. doi: 10.1109/TWC.2017.2661749

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