联合时移和空间划分方法抑制大规模MIMO导频污染

doi:10.11959/j.issn.1000-436x.2017038

通信学报 ›› 2017, Vol. 38 ›› Issue (2): 165-172.doi: 10.11959/j.issn.1000-436x.2017038

联合时移和空间划分方法抑制大规模MIMO导频污染

宋新雷,杨霖,杜嘉良

电子科技大学通信抗干扰技术国家重点实验室，四川成都 611731

修回日期:2016-10-26 出版日期:2017-02-01 发布日期:2017-07-20
作者简介:宋新雷（1989-），男，河南商丘人，电子科技大学硕士生，主要研究方向为大规模MIMO导频污染抑制方法。|杨霖（1977-），男，四川珙县人，电子科技大学副教授，主要研究方向为无线移动通信、现代通信中的信号处理。|杜嘉良（1993-），男，广东广州人，电子科技大学硕士生，主要研究方向为大规模MIMO物理层中的关键技术、导频污染和预编码。
基金资助:
国家自然科学基金资助项目(61370012);国家自然科学基金资助项目(61571082);国家科技重大专项基金资助项目(2014ZX03004003)

Pilot decontamination in massive MIMO system combining time-shifted and cell sectorization pilot assignment

Xin-lei SONG,Lin YANG,Jia-liang DU

National Key Laboratory of Science and Technology on Communications,University Science and Technology of China,Chengdu 611731,China

Revised:2016-10-26 Online:2017-02-01 Published:2017-07-20
Supported by:
The National Natural Science Foundation of China(61370012);The National Natural Science Foundation of China(61571082);The National Science and Technology Major Project of the Ministry of Science and Technology of China(2014ZX03004003)

摘要/Abstract

摘要：

在大规模MIMO（multiple input multiple output）系统的信道估计过程中，不可避免地需要在不同小区中复用同样的导频序列，由此而产生导频污染问题，且当基站天线趋向于无穷多时，它成为了系统性能提升的瓶颈。为了抑制导频污染，提出一种联合时移和小区空间划分的导频序列分配（TS-CSPA,time shifted-cell sectorization pilot assignment）方法，该方法通过从时域和空间域2个角度降低导频复用程度来抑制导频污染。推导了系统使用该方案时的等效信干比和用户可达速率。仿真结果表明所提出的方法能有效地抑制大规模MIMO系统的导频污染，相比于其他几种抑制方法能够在系统性能上获得一定程度的提升。

关键词: 大规模MIMO, 导频污染, 频谱效率, 信道估计

Abstract:

Pilot contamination is appeared in massive MIMO (multiple input multiple output) system when using the same pilot sequences at different cells to get the channel state information.It becomes a bottleneck problem of massive MIMO when the number of antenna goes infinite.In order to dealt with pilot contamination,a new TS-CSPA joint scheme was proposed.This scheme can mitigate pilot contamination by reduce the reuse of pilot sequence through the time domain and space domain.And the closed-form expression for the achieved rates and signal to interference plus noise ratio(SINR) to verify the advantages of the proposed scheme were given.Numerical results show that significant performance gains to mitigate pilot contamination problem compared to other methods.

Key words: massive MIMO, pilot contamination, spectral efficiency, channel estimate

中图分类号:

TP393

宋新雷,杨霖,杜嘉良. 联合时移和空间划分方法抑制大规模MIMO导频污染[J]. 通信学报, 2017, 38(2): 165-172.

Xin-lei SONG,Lin YANG,Jia-liang DU. Pilot decontamination in massive MIMO system combining time-shifted and cell sectorization pilot assignment[J]. Journal on Communications, 2017, 38(2): 165-172.

图/表 11

图1

图2

图3

图4

图5

表1

图6

图7

图8

图9

图10

参考文献 16

[1]	FREDRIK R , DANIEL P , BUON K L . Scaling up MIMO:opportunities and challenges with very large arrays[J]. IEEE Signal Processing Magazine, 2013,30(1): 40-60.
[2]	ERIK G L , OVE E , FREDRIK T . Massive MIMO for next generation wireless systems[J]. IEEE Communications Magazine, 2014,52(2): 186-195.
[3]	THOMAS L M . Noncooperative cellular wireless with unlimited numbers of base station antennas[J]. IEEE Transactions on Wireless Communications, 2010,9(11): 3590-3600.
[4]	THOMAS L M , . How much training is required for multiuser MIMO?[C]// Signals,Systems and Computers. 2006: 359-363.
[5]	RALF R M , LAURA C , MIKKO V . Blind pilot decontamination[J]. IEEE Journal of Selected Topics in Signal Processing, 2014,8(5): 773-786.
[6]	HU D , HE L H , WANG X D . Semi-blind pilot decontamination for massive MIMO system[J]. IEEE Transactions on Wireless Communications, 2016,15(1): 525-536.
[7]	BIEN Q N , ERIK G L . EVD-based channel estimation in multiuser MIMO systems with very large antenna arrays[C]// IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). 2012: 3249-3252.
[8]	DZEVDAN K , GAN Z,KAI-KIT W . Detection of pilot contamination attack using random training and massive MIMO[C]// IEEE 24th International Symposium. 2013: 13-18.
[9]	ZHU X D , DAI L L , WANG Z C . Graph coloring based pilot allocation to mitigate pilot contamination for multi-cell massive MIMO systems[J]. IEEE Communications Letters, 2015,19(10): 1842-1845.
[10]	JESPER H S , ELISABETH D C . Pilot decontamination through pilot sequence hopping in massive MIMO systems[C]// Signal Processing for Communications Symposium-Globecom. 2014: 3285-3290.
[11]	ZHU X D , WANG Z C , DAI L L . Smart pilot assignment for massive MIMO[J]. IEEE Communications Letters, 2015,19(9): 1644-1647.
[12]	JUBIN J , ALEXEI A , THOMAS L M . Pilot contamination and precoding in multi-cell TDD systems[J]. IEEE Transactions on Wireless Communications, 2011,10(8): 2640-2651.
[13]	FABIO F , ALEXEI A , THOMAS L M . Inter-cell interference in noncooperative TDD large scale antenna systems[J]. IEEE Journal on Selected Areas in Communications, 2013,31(2): 192-201.
[14]	MAHYIDDIN W A W M , MARTIN P A , SMITH P J . Pilot contamination reduction using timeshifted pilots in finite massive MIMO systems[C]// Vehicular Technology Conference. 2014: 1-5.
[15]	JIN S , WANG X Y , WONG K K . On massive MIMO zero-forcing transceiver using time-shifted pilots[J]. IEEE Transactions on Vehicular Technology, 2016,65(1): 59-74.
[16]	ZHAO Z , CHEN Z G , LIU Y T . Cell sectorization based pilot assignment scheme in massive MIMO systems[C]// Wireless Telecommunications Symposium. 2015: 1-5.

参数	值
小区数L	7
每个小区的用户K	8
小区半径r/km	1.0
时延因子η	3.8
阴影衰落标准差σ _shadow/dB	8.0
导频序列长度τ	8
BS传输功率 p_f	15
UT传输功率 p_r	4

联合时移和空间划分方法抑制大规模MIMO导频污染

Pilot decontamination in massive MIMO system combining time-shifted and cell sectorization pilot assignment

在线阅读

PDF下载

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 16

相关文章 15

Metrics

推荐阅读 0

[1]	崔伟, 于颖, 于海霞, 陈超, 李云鹏. 基于IOC-CSMP的OFDM系统稀疏信道快速重构算法[J]. 通信学报, 2023, 44(2): 52-58.
[2]	郭漪, 王翊卿, 樊媛媛, 刘刚. 基于子载波补给索引调制的OFDM传输方案[J]. 通信学报, 2023, 44(2): 104-111.
[3]	曾嵘, 杭潇. 车联网环境下可重构智能反射面辅助无线信道估计算法[J]. 通信学报, 2022, 43(8): 142-150.
[4]	廖勇, 王世义. 高速移动环境下基于RM-Net的大规模MIMO CSI反馈算法[J]. 通信学报, 2022, 43(5): 166-176.
[5]	刘刚, 娄增进, 林勤华, 郭漪. 基于Newton迭代算法的低复杂度信号检测算法[J]. 通信学报, 2022, 43(2): 109-117.
[6]	蒋占军, 刘欢, 张华卫, 李翠然. OTFS接收端信道估计辅助的无记忆功放非线性失真补偿算法[J]. 通信学报, 2022, 43(12): 134-145.
[7]	邢旺, 唐晓刚, 周一青, 张冲, 潘振岗. 面向OTFS的时延-多普勒域信道估计方法综述[J]. 通信学报, 2022, 43(12): 188-201.
[8]	梅锴, 赵海涛, 刘潇然, 刘军, 熊俊, 任保全, 魏急波. 高效的基于数据与模型的信道估计算法[J]. 通信学报, 2022, 43(1): 59-70.
[9]	黄源, 何怡刚, 吴裕庭, 程彤彤, 隋永波, 宁暑光. 基于深度学习的压缩感知FDD大规模MIMO系统稀疏信道估计算法[J]. 通信学报, 2021, 42(8): 61-69.
[10]	赵雄文, 刘瑶, 张钰, 耿绥燕, 秦鹏, 周振宇. 基于连续干扰消除和交替方向乘子法的混合预编码设计[J]. 通信学报, 2021, 42(5): 111-121.
[11]	廖勇, 蔡志镕. 基于基扩展模型的改进正则化正交匹配追踪V2X快时变SC-FDMA信道估计[J]. 通信学报, 2021, 42(4): 177-184.
[12]	吕新荣, 李有明, 国强. MIMO-OFDM系统的信道与脉冲噪声联合估计方法[J]. 通信学报, 2021, 42(12): 54-64.
[13]	王蕊, 申敏, 何云, 刘香燕. Cell-Free大规模MIMO系统中基于传输时延的缓存策略研究[J]. 通信学报, 2021, 42(12): 134-143.
[14]	傅友华, 陈栋. 混合智能反射表面结构辅助的毫米波通信信道估计[J]. 通信学报, 2021, 42(10): 189-196.
[15]	王莹, 任军, 史可, 林彬. 基于深度学习的广义频分复用系统时频双选择信道估计[J]. 通信学报, 2021, 42(10): 233-242.