基于迫零方式下带有硬件损害的大规模MIMO全双工中继系统

金思年; 岳殿武; 闫秋娜

doi:10.11999/JEIT180228

基于迫零方式下带有硬件损害的大规模MIMO全双工中继系统

doi: 10.11999/JEIT180228

大连海事大学信息科学技术学院大连 116026

基金项目: 国家自然科学基金(61801074)，中央高校基本科研业务费专项资金(3132016347)，辽宁省自然科学基金(201602086)

详细信息

作者简介:
金思年：男，1991年生，博士生，研究方向为大规模MIMO技术和协作通信技术

岳殿武：男，1965年生，教授，博士生导师，研究方向为大规模MIMO技术、毫米波技术和可见光技术

闫秋娜：女，1975年生，讲师，研究方向为协作中继通信、MIMO无线通信理论和自适应调制技术

通讯作者:
岳殿武　dwyue@dlmu.edu.cn

中图分类号: TN911.23
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出版历程
- 收稿日期: 2018-03-09
- 修回日期: 2019-04-07
- 网络出版日期: 2019-04-10
- 刊出日期: 2019-06-01

Massive MIMO Full-duplex Relaying with Hardware Impairments and Zero-forcing Processing

College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

Funds: The National Natural Science Foundation of China(61801074), The Fundamental Research Funds for the Central Universities (3132016347), The Liaoning Provincial Natural Science Foundation (201602086)

摘要

摘要: 该文考虑一个大规模MIMO全双工中继系统，该系统下多个单天线的源节点和多个单天线的目的节点通过一个在接收端和发送端分别配置${N_{{\mathop{\rm rx}\nolimits} }}$和${N_{{\mathop{\rm tx}\nolimits} }}$根天线的中继进行通信。在非完美信道状态信息(CSI)和硬件损害的情况下，中继端在译码转发(DF)的方式下使用迫零(ZF)方法去处理接收信号和发送信号，并获得了闭合形式的接收速率表达式。根据这些表达式，可以得到各种功率收缩规律，发现随着中继端接收天线数量和发送天线数量以一定比例趋近于无穷大时，源节点的能量、中继端的能量和导频的能量可以以一定条件收缩来维持系统性能。
- 大规模MIMO /
- 全双工中继系统 /
- 硬件损害 /
- 译码转发 /
- 迫零 /
- 功率收缩
Abstract: A massive MIMO full-duplex relaying system is considerd in this paper, in which multiple single-antenna sources simultaneously communicate with multiple single-antenna destinations using a single relay that is equipped with ${N_{{\mathop{\rm rx}\nolimits} }}$ receive antennas and ${N_{{\mathop{\rm tx}\nolimits} }}$ transmit antennas. Under imperfect Channel State Information (CSI) and hardware impairment, the relay processes the received and transmitted signals by means of Zero-Forcing (ZF) and uses Decode-and-Forward (DF) scheme. The closed-form expressions of achievable rate are deduced. Based on these expressions, the various power scaling laws can be obtained. It is shown that when the two numbers of the relay receive and transmit antennas go to infinity but with a fixed ratio, the system can maintain a desirable quality of service in the case of scaling the transmit powers of the sources, relay and pilots.
- Massive MIMO /
- Full-duplex relaying system /
- Hardware impairments /
- Decode-and-Forward (DF) /
- Zero-Forcing (ZF) /
- Power scaling

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图 1 ZF方式的频谱效率与信噪比的关系

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图 2 ZF方式的频谱效率与天线数的关系

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参考文献(16)

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

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

HUANG Yongming, HE Shiwen, WANG Jiaheng, et al. Spectral and energy efficiency tradeoff for massive MIMO[J]. IEEE Transactions on Vehicular Technology, 2018, 67(8): 6991–7002. doi: 10.1109/TVT.2018.2824311

TRAN T X and TEH K C. Spectral and energy efficiency analysis for SLNR precoding in massive MIMO systems with imperfect CSI[J]. IEEE Transactions on Wireless Communications, 2018, 17(6): 4017–4027. doi: 10.1109/TWC.2018.2819184

PIRZADEH H and SWINDLEHURST A L. Spectral efficiency of mixed-ADC massive MIMO[J]. IEEE Transactions on Signal Processing, 2018, 66(13): 3599–3613. doi: 10.1109/TSP.2018.2833807

ZHANG Xing, ZHONG Lin, and SABHARWAL A. Directional training for FDD massive MIMO[J]. IEEE Transactions on Wireless Communications, 2018, 17(8): 5183–5197. doi: 10.1109/TWC.2018.2838600

NGO H Q, SURAWEERA H A, MATTHAIOU M, et al. Multipair full-duplex relaying with massive arrays and linear processing[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(9): 1721–1737. doi: 10.1109/JSAC.2014.2330091

SHARMA E, BUDHIRAJA R, VASUDEVAN K, et al. Full-duplex massive MIMO multi-pair two-way AF relaying: Energy efficiency optimization[J]. IEEE Transactions on Communications, 2018, 66(8): 3322–3340. doi: 10.1109/TCOMM.2018.2822273

XIE Wei, XIA Xiaochen, XU Youyun, et al. Massive MIMO full-duplex relaying with hardware impairments[J]. Journal of Communications and Networks, 2017, 19(4): 351–362. doi: 10.1109/JCN.2017.000059

JIN Sinian, YUE Dianwu, and NGUYEN H H. Power scaling laws of massive MIMO full-duplex relaying with hardware impairments[J]. IEEE Access, 2018, 6: 40860–40882. doi: 10.1109/ACCESS.2018.2857496

XU Kui, GAO Yuanyuan, XIE Wei, et al. Achievable rate of full-duplex massive MIMO relaying with hardware impairments[C]. Proceedings of 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, Canada, 2015: 84–89.

ZHANG Jiayi, XUE Xipeng, BJÖRNSON E, et al. Spectral efficiency of multipair massive MIMO two-way relaying with hardware impairments[J]. IEEE Wireless Communications Letters, 2018, 7(1): 14–17. doi: 10.1109/LWC.2017.2750162

ZHANG Qi, QUEK T Q S, and JIN Shi. Scaling analysis for massive MIMO systems with hardware impairments in rician fading[J]. IEEE Transactions on Wireless Communications, 2018, 17(7): 4536–4549. doi: 10.1109/TWC.2018.2827068

ZHU Jun, NG D W K, WANG Ning, et al. Analysis and design of secure massive MIMO systems in the presence of hardware impairments[J]. IEEE Transactions on Wireless Communications, 2017, 16(3): 2001–2016. doi: 10.1109/TWC.2017.2659724

BIGUESH M and GERSHMAN A B. Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 884–893. doi: 10.1109/TSP.2005.863008

ZHANG Xinlin, MATTHAIOU M, COLDREY M, et al. Energy efficiency optimization in hardware-constrained large-scale MIMO systems[C]. Proceedings of the 11th International Symposium on Wireless Communications Systems, Barcelona, Spain, 2014: 992–996.

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