基于DoA的高速场景下大规模MIMO自适应波束成形

doi:10.11959/j.issn.1000-436x.2017086

通信学报 ›› 2017, Vol. 38 ›› Issue (6): 58-67.doi: 10.11959/j.issn.1000-436x.2017086

基于DoA的高速场景下大规模MIMO自适应波束成形

廖勇^1,²,李瑜锋¹,沈轩帆¹

¹ 重庆大学飞行器测控与通信教育部重点实验室，重庆 400044
² 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071

修回日期:2017-02-20 出版日期:2017-06-25 发布日期:2017-06-30
作者简介:廖勇（1982-），男，四川自贡人，重庆大学副研究员、硕士生导师，主要研究方向为宽带无线通信与网络、飞行器测控与通信等。|李瑜锋（1992-），男，湖北荆州人，重庆大学硕士生，主要研究方向为无线通信中的预编码技术。|沈轩帆（1994-），男，云南昆明人，重庆大学硕士生，主要研究方向为无线通信信道估计。
基金资助:
国家自然科学基金资助项目(61501066);国家自然科学基金资助项目(61201133);国家自然科学基金资助项目(61571338);国家科技重大专项基金资助项目(2015zx03002006-003);国家科技重大专项基金资助项目(MJ-2014-S-37);国家高技术研究发展计划（“863”计划）基金资助项目(2015AA015701);重庆市基础与前沿研究计划基金资助项目(cstc2015jcyjA40003);重庆市基础与前沿研究计划基金资助项目(cstc2016jcyjA0209);四川省应用基础研究计划基金资助项目(2016JY0179);综合业务网理论及关键技术国家重点实验室开放基金资助项目(ISN16-03);中央高校基本科研业务费基金资助项目(106112014CDJZR165505);中央高校基本科研业务费基金资助项目(106112017CDJXY500001)

Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios

Yong LIAO^1,²,Yu-feng LI¹,Xuan-fan SHEN¹

¹ Key Laboratory of Aerocraft TT＆C and Communication,Ministry of Education,Chongqing University,Chongqing 400044,China
² State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China

Revised:2017-02-20 Online:2017-06-25 Published:2017-06-30
Supported by:
The National Natural Science Foundation of China(61501066);The National Natural Science Foundation of China(61201133);The National Natural Science Foundation of China(61571338);The National Science and Technology Major Project of China(2015zx03002006-003);The National Science and Technology Major Project of China(MJ-2014-S-37);The National High Technology R＆D Program of China (863 Program)(2015AA015701);The Chongqing Frontier and Applied Basic Research Project(cstc2015jcyjA40003);The Chongqing Frontier and Applied Basic Research Project(cstc2016jcyjA0209);Applied Basic Research Project of Sichuan Province(2016JY0179);The Open Fund of the State Key Laboratory of Integrated Services Networks(ISN16-03);The Fundamental Research Funds for the Central Universities(106112014CDJZR165505);The Fundamental Research Funds for the Central Universities(106112017CDJXY500001)

摘要/Abstract

摘要：

提出了高速场景下基于到达角（DoA,direction of arrival）的大规模多输入多输出（MIMO，multiple input multiple output）波束成形设计。同时，为了保证高铁在运行过程中获得最佳的系统容量，提出一种迭代的最优多波束选择方法。该方法能实时跟踪高铁不同的移动车厢终端（MCT,mobile carriage terminal），自适应选择不同波束所需的发射天线数和自适应调节波束总数目，且不需要信道状态信息（CSI,channel state information），从而降低系统复杂度和节省开销。数值结果表明，与传统方法相比所提方法能有效适应高速移动场景，提高系统容量。

关键词: 高速铁路, 大规模MIMO, 车地通信, 到达角, 波束成形

Abstract:

A direction of arrival based (DoA-based) beamforming of massive MIMO was proposed for high-speed railway scenarios.In order to guarantee that the optimal system capacity can be obtained during traveling,an iterative multi-beams scheme was proposed.It aimed to design different beams for different mobile carriage terminals (MCT) respectively.The proposal adaptively selected the number of antennas for each beam,and adaptively designed the number of beams according to system capacity.Moreover,the scheme didn’t need channel state information (CSI) that can reduce system implementation complexity and cost.Numerical results indicate that the proposed scheme is suitable for high-speed scenarios,the system performance can be improved more efficiently compared to conventional methods.

Key words: high-speed railway, massive MIMO, train-ground communication, direction of arrival, beamforming

中图分类号:

TN929.5

廖勇,李瑜锋,沈轩帆. 基于DoA的高速场景下大规模MIMO自适应波束成形[J]. 通信学报, 2017, 38(6): 58-67.

Yong LIAO,Yu-feng LI,Xuan-fan SHEN. Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios[J]. Journal on Communications, 2017, 38(6): 58-67.

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参考文献 33

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列车离BS在轨道垂直投影点的距离d/m	角度	不同速度时方位角平均变化率/°
列车离BS在轨道垂直投影点的距离d/m	角度	v=90 km/h	v=180 km/h	v=270 km/h	v=360 km/h	v=450 km/h
	θ_r	54.90	109.10	164.60	219.40	274.30
1～500	φ_r	26.90	53.80	80.80	107.70	134.60
	θ_r	0.46	0.93	1.39	1.85	2.32
500～2 400	φ_r	0.46	0.92	1.38	1.84	2.31

参数	值
载波频率/GHz	2.35
带宽/MHz	20
列车速度v/(km·h^?1)	360
BS发射功率阈值/dBm	46
BS天线数N_T	512
MCT天线数N_R	16
归一化的阵元间距Δ	0.5
列车车厢数	8
车厢长度/m	25
MCT间距l/m	30
收发天线高度差h_BS/m	40
BS与铁轨最短距离D_min/m	50
BS信号覆盖半径/km	3
环境信噪比/dB	25
噪声功率谱密度/(dBm·Hz^?1)	?174

基于DoA的高速场景下大规模MIMO自适应波束成形

Adaptive beamforming of massive MIMO based on DoA in high mobility scenarios

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