[1]吕钱,李佳珉,朱鹏程,等.波束成型训练机制下分布式大规模MIMO系统的频谱有效性分析[J].东南大学学报(自然科学版),2018,48(3):406-410.[doi:10.3969/j.issn.1001-0505.2018.03.005]
　Lü Qian,Li Jiamin,Zhu Pengcheng,et al.Spectral efficiency analysis of distributed massive MIMO system with beamforming training scheme[J].Journal of Southeast University (Natural Science Edition),2018,48(3):406-410.[doi:10.3969/j.issn.1001-0505.2018.03.005]
点击复制

波束成型训练机制下分布式大规模MIMO系统的频谱有效性分析()
分享到：

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
48
期数:
2018年第3期
页码:
406-410
栏目:
信息与通信工程
出版日期:
2018-05-20

文章信息/Info

Title:
Spectral efficiency analysis of distributed massive MIMO system with beamforming training scheme
作者:
吕钱; 李佳珉; 朱鹏程; 尤肖虎
东南大学国家移动通信重点实验室, 南京 210096
Author(s):
Lü Qian;  Li Jiamin;  Zhu Pengcheng;  You Xiaohu
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
关键词:
分布式天线系统;  频谱有效性;  延迟信道状态信息;  波束成型训练机制
Keywords:
distributed antenna system;  spectral efficiency;  delayed channel state information;  beamforming training scheme
分类号:
TN929.5
DOI:
10.3969/j.issn.1001-0505.2018.03.005
摘要:
为减少分布式大规模MIMO系统中信道硬化作用减弱带来的系统性能损失,用户端利用波束成型训练机制进行信道估计,并将估计的信道状态信息用于用户端数据接收,从而提高系统的频谱有效性.分别考虑用户端已知统计的信道状态信息、估计的信道状态信息以及理想的信道状态信息,推导了信道时变环境下基站端采用最大比发送预编码和迫零预编码时系统的遍历可达速率闭合表达式,并利用所推导的闭合表达式分析波束成型训练机制和信道时变对系统性能的影响.仿真结果表明,闭合表达式与数值仿真结果吻合,波束成型训练机制可以有效提高系统的频谱有效性,延迟的信道状态信息则会降低系统的频谱有效性.
Abstract:
To reduce the performance loss caused by the weakened channel hardening effect of the distributed massive MIMO(multiple-input multiple-out)system, channel estimation at user terminals is conducted by using the beamforming training scheme. The estimated CSI(channel state information)is used to data reception at user terminals, further improving the spectral efficiency of the whole system. Assuming that the statistical CSI, the estimated CSI and the perfect CSI are known, respectively, the closed-form expressions of the ergodic achievable rate for time-varied channels with MRT(maximum ratio transmission)and ZF(zero forcing)precoder are derived. The influences of the beamforming training scheme and the time-varying channels on the system performance are analyzed. The simulation results demonstrate that the closed-form expressions are agree with the numerical results. The beamforming training scheme can effectively improve the spectral efficiency while the delayed CSI can decrease the spectral efficiency.

参考文献/References:

[1] Zuo J, Zhang J, Yuen C, et al. Multicell multiuser massive MIMO transmission with downlink training and pilot contamination precoding[J]. IEEE Transactions on Vehicular Technology, 2016, 65(8): 6301-6314. DOI:10.1109/tvt.2015.2475284.
[2] Larsson E,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.
[3] Saleh A A M, Rustako A, Roman R. Distributed antennas for indoor radio communications[J]. IEEE Transactions on Communications, 1987, 35(12): 1245-1251. DOI:10.1109/tcom.1987.1096716.
[4] Li J, Wang D, You X, et al. Spectral efficiency analysis of single-cell multi-user large-scale distributed antenna system[J]. IET Communications, 2014, 8(12): 2213-2221. DOI:10.1049/iet-com.2013.0855.
[5] You X H, Wang D M,Sheng B, et al. Cooperative distributed antenna systems for mobile communications[J]. IEEE Wireless Communications, 2010, 17(3): 35-43. DOI:10.1109/mwc.2010.5490977.
[6] Lu L, Li G Y,Swindlehurst A L, et al. An overview of massive MIMO: Benefits and challenges[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 742-758. DOI:10.1109/jstsp.2014.2317671.
[7] Bjornson E, Larsson E G,Marzetta T L. Massive MIMO: Ten myths and one critical question[J]. IEEE Communications Magazine, 2016, 54(2): 114-123. DOI:10.1109/mcom.2016.7402270.
[8] Interdonato G, Ngo H Q, Larsson E G, et al. How much do downlink pilots improve cell-free massive MIMO?[C]// Global Communications Conference. Washington DC, USA, 2016: 1-7.
[9] Ngo H Q, Larsson E G,Marzetta T L. Massive MU-MIMO downlink TDD systems with linear precoding and downlink pilots[C]// 2013 51st Annual Allerton Conference on Communication, Control, and Computing. Monticello, Illinois, USA,2013: 293-298.
[10] Truong K T, Heath R W. Effects of channel aging in massive MIMO systems[J]. Journal of Communications and Networks, 2013, 15(4): 338-351. DOI:10.1109/jcn.2013.000065.

备注/Memo

备注/Memo:
收稿日期: 2017-11-29.
作者简介: 吕钱(1994—),女,硕士生;李佳珉(联系人),男,博士,讲师, lijiamin@seu.edu.cn.
引用本文: 吕钱,李佳珉,朱鹏程,等.波束成型训练机制下分布式大规模MIMO系统的频谱有效性分析[J].东南大学学报(自然科学版),2018,48(3):406-410. DOI:10.3969/j.issn.1001-0505.2018.03.005.
更新日期/Last Update: 2018-05-20