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

Kai LIU; Guichao CHEN; Cheng TAO; Tao ZHOU

doi:10.11999/JEIT181136

Volume 41 Issue 11

Nov. 2019

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(11): 2541-2548

Kai LIU, Guichao CHEN, Cheng TAO, Tao ZHOU. Performance Analysis of Massive MIMO-OFDM System with Mixed-precision Analog-to-digital Converter[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2541-2548. doi: 10.11999/JEIT181136

Citation:

Kai LIU, Guichao CHEN, Cheng TAO, Tao ZHOU. Performance Analysis of Massive MIMO-OFDM System with Mixed-precision Analog-to-digital Converter[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2541-2548. doi: 10.11999/JEIT181136

Citation:

PDF( 1185 KB)

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

doi: 10.11999/JEIT181136

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)

Received Date: 2018-12-10
Rev Recd Date: 2019-02-02

Available Online: 2019-06-01

Publish Date: 2019-11-01

Abstract

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

FullText(HTML)

References(18)

References

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

Relative Articles

Supplements(0)

Cited By

Proportional views