毫米波MIMO发射机中的低复杂度动态子阵列组合方法

doi:10.11959/j.issn.1000-0801.2020161

电信科学 ›› 2020, Vol. 36 ›› Issue (8): 92-102.doi: 10.11959/j.issn.1000-0801.2020161

毫米波MIMO发射机中的低复杂度动态子阵列组合方法

王璀,潘鹏,张帅,严军荣

杭州电子科技大学，浙江杭州310016

修回日期:2020-05-10 出版日期:2020-08-20 发布日期:2020-08-26
作者简介:王璀（1991- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为无线通信系统|潘鹏（1983- ），男，杭州电子科技大学通信工程学院副教授，主要研究方向为MIMO及大规模MIMO预编码和容量分析、毫米波通信|张帅（1995- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为无线通信系统|严军荣（1974- ），男，杭州电子科技大学通信工程学院讲师，主要研究方向为无线通信与软件定义网络
基金资助:
国家自然科学基金资助项目(61372093);国家自然科学基金资助项目(61401130)

A low complexity dynamic subarray combination method for MIMO transmitter

Cui WANG,Peng PAN,Shuai ZHANG,Junrong YAN

Hangzhou Dianzi University,Hangzhou 310016,China

Revised:2020-05-10 Online:2020-08-20 Published:2020-08-26
Supported by:
The National Natural Science Foundation of China(61372093);The National Natural Science Foundation of China(61401130)

摘要/Abstract

摘要：

对于采用部分连接架构的毫米波MIMO系统，为了提升频谱效率，根据信道条件动态调整各子阵列的天线组成。然而，对天线进行最佳分组需要按照一定准则对所有可能的天线组合进行穷举搜索，将导致复杂度难以接受。针对这一问题，提出了一种低复杂度的子阵列动态分配方法，核心是在对阵元进行分组时，引入一定的规则，从而显著降低组合个数，减少搜索范围。具体而言，给出了两种低复杂度的天线组合算法。首先，考虑到毫米波天线间具有较强的相关性，将相邻多个天线虚拟为一个阵元，从而降低搜索空间。其次，通过将所有天线分为上下半区，实现基于分区的天线组合，实现了搜索空间的降低。仿真结果表明，所提的方法能够在性能和复杂度之间获得较好的折中。

关键词: 毫米波, MIMO, 部分连接, 动态子阵列

Abstract:

For the mmWave MIMO system using a partially-connected structure,in order to improve the spectral efficiency,the antenna composition of each subarray will be dynamically adjusted according to the channel conditions.However,the optimal grouping of antennas requires exhaustive searching for all possible antenna combinations according to certain criteri,which leads to unacceptable complexity.In response to the problem,a low-complexity sub-array dynamic allocation method was proposed.The core was to introduce certain rules when grouping array elements,thereby significantly reducing the number of combinations and reducing the search range.Specifically,two low-complexity antenna combination algorithms were proposed.Firstly,considering the strong correlation between mmWave antennas,multiple adjacent antennas were virtualized as an array element,thereby reducing the search space.Secondly,by dividing all antennas into upper and lower half areas,the antenna combination based on partition was realized,and the search space was also reduced.Simulation results show that the proposed method can achieve a good trade-off between performance and complexity.

Key words: millimeter wave, MIMO, partially connected, dynamic subarray

中图分类号:

TN929

王璀,潘鹏,张帅,严军荣. 毫米波MIMO发射机中的低复杂度动态子阵列组合方法[J]. 电信科学, 2020, 36(8): 92-102.

Cui WANG,Peng PAN,Shuai ZHANG,Junrong YAN. A low complexity dynamic subarray combination method for MIMO transmitter[J]. Telecommunications Science, 2020, 36(8): 92-102.

图/表 7

图1

图2

图3

图4

图5

图6

图7

参考文献 20

[1]	AYACH O E , RAJAGOPAL S ， ABU-SURRA S ,et al. Spatially sparse precoding in millimeter wave MIMO systems[J]. IEEE Transactions on Wireless Communications, 2013,13(3): 1499-1513.
[2]	RAPPAPORT T S , SUN S , MAYZUS R ,et al. Millimeter wave mobile communications for 5G cellular:it will work![J]. IEEE Access, 2013(1): 335-349.
[3]	RANGAN S , RAPPAPORT T S , ERKIP E . Millimeter-wave cellular wireless networks:potentials and challenges[J]. Proceedings of the IEEE, 2014,102(3): 366-385.
[4]	MOLISCH A F , RATNAM V V , HAN S ,et al. Hybrid beamforming for massive MIMO:a survey[J]. IEEE Communications Magazine, 2017,55(9): 134-141.
[5]	SOHRABI F , YU W . Hybrid analog and digital beamforming for mmWave OFDM large-scale antenna arrays[J]. IEEE Journal on Selected Areas in Communications, 2017:1.
[6]	SOHRABI F , YU W . Hybrid analog and digital beamforming for OFDM-based large-scale MIMO systems[C]// IEEE International Workshop on Signal Processing Advances in Wireless Communications. Piscataway:IEEE Press, 2016.
[7]	SOHRABI F , YU W . Hybrid digital and analog beamforming design for large-scale MIMO systems[C]// Proceeding of IEEE International Conference on Acoustics. Piscataway:IEEE Press, 2015.
[8]	PAYAMI S , GHORAISHI M , DIANATI M . Hybrid beamforming for large antenna arrays with phase shifter selection[J]. IEEE Transactions on Wireless Communications, 2016:1.
[9]	MAJIDZADEH M , MOILANEN A , TERVO N ,et al. Hybrid beamforming for single-user MIMO with partially connected RF architecture[C]// Proceedings of European Conference on Networks ＆ Communications. Piscataway:IEEE Press, 2017.
[10]	RUSU C , MENDEZ-RIAL R , GONZALEZ-PRELCIC N ,et al. Low complexity hybrid precoding strategies for millimeter wave communication systems[J]. IEEE Transactions on Wireless Communications, 2016(99):1.
[11]	尤若楠, 潘鹏, 张丹 ,等. 基于有限反馈的毫米波 MIMO 系统的混合预编码方法[J]. 电信科学, 2018,34(8): 119-128.
	YOU R N , PAN P , ZHANG D ,et al. Hybrid precoding method for mmWave MIMO systems based on limited feedback[J]. Telecommunications Science, 2018,34(8): 119-128.
[12]	ZI R , GE X , THOMPSON J ,et al. Energy efficiency optimization of 5G radio frequency chain systems[J]. IEEE Journal on Selected Areas in Communications, 2016,34(4): 758-771.
[13]	PARK S , ALKHATEEB A , HEATH J R W . Dynamic subarrays for hybrid precoding in wideband mmWave MIMO systems[J]. IEEE Transactions on Wireless Communications, 2017,16(5): 2907-2920.
[14]	JIN J , XIAO C , CHEN W ,et al. Channel-statistics-based hybrid precoding for millimeter-wave MIMO systems with dynamic subarrays[J]. IEEE Transactions on Communications, 2019
[15]	MéNDEZ-RIAL R , RUSU C , GONZáLEZ-PRELCIC N ,et al. Hybrid MIMO architectures for millimeter wave communications:phase shifters or switches?[J]. IEEE Access, 2015(4): 247-267.
[16]	ALKHATEEB A , NAM Y H , ZHANG J ,et al. Massive MIMO combining with switches[J]. IEEE Wireless Communications Letters, 2016:1.
[17]	AYACH O E , RAJAGOPAL S,ABU-SURRA S , ABU-SURRA S ,et al. Spatially sparse precoding in millimeter wave MIMO systems[J]. IEEE Transactions on Wireless Communications, 2013,13(3): 1499-1513.
[18]	BALANIS C A . Antenna theory,analysis and design[M]. New York: John Wiley ＆ SonsPress, 1997.
[19]	ALKHATEEB A , HEATH J R W . Frequency selective hybrid precoding for limited feedback millimeter wave systems[J]. IEEE Transactions on Communications, 2015,64(5): 1801-1818.
[20]	GRAHAM R L , KNUTH D E , PATASHNIK O . Concrete mathematics[M]. Beijing: China Machine PressPress, 2002.

毫米波MIMO发射机中的低复杂度动态子阵列组合方法

A low complexity dynamic subarray combination method for MIMO transmitter

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 20

相关文章 15

Metrics

推荐阅读 0

[1]	武智炜, 王海泉, 李美慧, 张欣禹, 钱淘鑫. 基于子空间的指数和分解及在信道估计中的应用[J]. 电信科学, 2023, 39(4): 52-59.
[2]	王晖, 邰其心, 刘镠, 王鸿, 宋荣方. 基于GSIC的上行链路毫米波大规模MIMO-NOMA系统低功耗传输方法[J]. 电信科学, 2023, 39(1): 51-59.
[3]	邓丹昊, 王朝炜, 江帆, 王卫东. 无人机辅助无蜂窝大规模MIMO中的空地协同调度[J]. 电信科学, 2022, 38(8): 37-44.
[4]	曹海燕, 汪忠亮, 徐好, 陈千鸿, 许方敏. 基于混合精度ADC量化的大规模MIMO系统能效联合优化算法[J]. 电信科学, 2022, 38(8): 65-74.
[5]	李南希, 朱剑驰, 郭婧, 尹航, 佘小明. NR MIMO增强演进及标准化进展[J]. 电信科学, 2022, 38(3): 84-92.
[6]	吕新荣, 李有明, 吴永清, 唐小波. 基于稀疏贝叶斯学习的MIMO-OFDM电力线通信系统接收机设计[J]. 电信科学, 2022, 38(2): 25-34.
[7]	楼斌剑, 王海泉, 黄怡, 李紫薇, 俞芸芸. 毫米波信道中波束成形矢量的波束宽度[J]. 电信科学, 2022, 38(11): 47-56.
[8]	陈浩椅, 李光球, 李辉. 基于IAFS算法的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2021, 37(8): 77-84.
[9]	张沛昌, 安万年, 钟世达, 黄磊, 庄春生, 张伟. 一种新型低复杂度双层分组天线选择算法[J]. 电信科学, 2021, 37(7): 67-76.
[10]	华郁秀, 李荣鹏, 赵志峰, 吴建军, 张宏纲. 基于生成对抗网络的MIMO信道估计方法[J]. 电信科学, 2021, 37(6): 14-22.
[11]	章坚武, 王路鑫, 孙玲芬, 章谦骅, 单杭冠. 人工智能在5G系统中的应用综述[J]. 电信科学, 2021, 37(5): 14-31.
[12]	王姣姣, 邵震, 黄国瑾. Wi-Fi 6的多用户技术[J]. 电信科学, 2021, 37(4): 132-139.
[13]	曹海燕, 马智尧, 智应娟, 刘仁清, 许方敏, 方昕. 毫米波大规模MIMO系统基于等效信道的全连接混合预编码设计[J]. 电信科学, 2021, 37(1): 85-93.
[14]	程露,杨丽花,王增浩,张捷,梁彦. 基于历史信息的软卡尔曼滤波迭代时变信道估计方法[J]. 电信科学, 2020, 36(9): 23-31.
[15]	邱佳锋. 基于优化BM3D的毫米波大规模MIMO信道估计[J]. 电信科学, 2020, 36(9): 44-50.