基于IRS辅助的MIMO车联网系统联合波束成形设计

doi:10.11959/j.issn.1000-436x.2023035

通信学报 ›› 2023, Vol. 44 ›› Issue (2): 59-69.doi: 10.11959/j.issn.1000-436x.2023035

基于IRS辅助的MIMO车联网系统联合波束成形设计

张雷¹, 王玉¹^,², 田建杰¹, 张琳¹, 章天骄¹

¹ 江苏理工学院电气信息工程学院，江苏常州 213001
² 东南大学移动通信国家重点实验室，江苏南京 210096

修回日期:2022-10-08 出版日期:2023-02-25 发布日期:2023-02-01
作者简介:张雷（1986- ），男，河南柘城人，博士，江苏理工学院副教授、硕士生导师，主要研究方向为认知无线电、车联网、智能超表面通信技术等
王玉（1987- ），女，山西长治人，博士，江苏理工学院副教授、硕士生导师，主要研究方向为车联网、智能超表面通信技术等
田建杰（1990- ），男，江苏常州人，博士，江苏理工学院讲师，主要研究方向为高能效无线通信系统、智能反射面辅助通信网络等
张琳（1990- ），女，江苏徐州人，博士，江苏理工学院讲师、硕士生导师，主要研究方向为多传感器融合、导航定位等
章天骄（1990- ），男，江苏常州人，博士，江苏理工学院讲师，主要研究方向为D2D网络、车联网MAC协议等
基金资助:
国家自然科学基金资助项目(61901196);东南大学移动通信国家重点实验室开放研究课题基金资助项目(2021D14);江苏省教育厅未来网络科研基金资助项目(FNSRFP-2021-YB-35);常州市应用基础研究计划基金资助项目(CJ20210070);江苏省基础研究计划基金资助项目(BK20210941);江苏省高等学校自然科学研究基金资助项目面上项目(20KJD510004);江苏省高等学校自然科学研究基金资助项目面上项目(21KJB510029);江苏省高等学校自然科学研究基金资助项目面上项目(21KJB510017)

Joint beam forming design for IRS-aided MIMO Internet of vehicles system

Lei ZHANG¹, Yu WANG¹^,², Jianjie TIAN¹, Lin ZHANG¹, Tianjiao ZHANG¹

¹ School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China
² National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Revised:2022-10-08 Online:2023-02-25 Published:2023-02-01
Supported by:
The National Natural Science Foundation of China(61901196);The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University(2021D14);Future Network Scientific Research Fund Project(FNSRFP-2021-YB-35);Changzhou Sci ＆ Tech Program(CJ20210070);Jiangsu Provincial Research Foundation for Basic Research(BK20210941);Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(20KJD510004);Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(21KJB510029);Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(21KJB510017)

摘要/Abstract

摘要：

针对MIMO车联网系统中V2I和V2V共享频谱的情形，提出了一种IRS辅助的联合波束成形设计方法。在保证V2V用户数据速率需求、V2I基站发射功率受限和IRS反射相移模约束等条件下，以最大化V2I用户的信道容量为目标，联合优化基站端发送预编码和IRS端的反射相移矩阵。采用最小均方误差规则、矩阵分析理论和内逼算法把非凸且变量耦合的优化问题转换为解耦后的凸优化问题，并提出一种交替迭代优化算法获得原问题的解。对所提算法的性能进行仿真，分析了IRS反射单元数、IRS部署位置和车速对车联网频谱效率的影响。仿真结果表明，所提算法收敛性较好，若在基站附近部署IRS，利用所提的联合波束成形方法能最大限度地提高车联网频谱效率。

关键词: 智能反射面, 车联网, MIMO, 波束成形, 凸优化

Abstract:

A joint beamforming design method assisted by an IRS was proposed in MIMO Internet of vehicles system where the spectrum was shared by V2I and V2V users.Considering the constraints of V2V user’s data rate requirement, transmit power and IRS reflection phase shift, transmit precoding matrix at base station and reflective phase shift matrix of the IRS were jointly optimized to maximize channel capacity of the V2I user.The coupled non-convex optimization problem was decoupled and converted to be convex by using minimum mean square error, matrix analysis and inner approaching algorithm.An alternate iterative optimization algorithm was proposed to find the feasible solution.The performance comparisons of the proposed algorithm with several benchmarks were carried out and the impacts of the number of IRS reflective elements, IRS location and vehicle speed on spectrum efficiency were provided, respectively.The simulation results show that the proposed algorithm can converge quickly and the spectrum efficiency can be maximally improved by using the proposed method if the IRS is deployed near the base station.

Key words: intelligent reflecting surface, Internet of vehicles, MIMO, beam forming, convex optimization

中图分类号:

TN92

张雷, 王玉, 田建杰, 张琳, 章天骄. 基于IRS辅助的MIMO车联网系统联合波束成形设计[J]. 通信学报, 2023, 44(2): 59-69.

Lei ZHANG, Yu WANG, Jianjie TIAN, Lin ZHANG, Tianjiao ZHANG. Joint beam forming design for IRS-aided MIMO Internet of vehicles system[J]. Journal on Communications, 2023, 44(2): 59-69.

图/表 7

图1

图2

表1

仿真参数设置"

参数名称	取值
基站发射功率P/W	1
V2V用户数据速率需求γ^req/(bit·(s·Hz)^-1)	1
发送数据流个数d_C , d _D	2
发送端天线数M_t, L _t	4
接收端天线数M_r, L _r	2
IRS反射单元数N	20
反射单元间隔与电磁波长比值 $\frac{d}{λ}$	0.5
与IRS有关的路径损耗指数	2
基站到C-VUE和D-VUE路径损耗指数	3.75
D-VUE之间的路径损耗指数	3
与IRS有关的莱斯衰落因子	3
每米的路径损耗/dB	30
噪声功率谱密度/(dBm·Hz^-1)	-174
算法误差精度	0.001

表1

图3

图4

图5

图6

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基于IRS辅助的MIMO车联网系统联合波束成形设计

Joint beam forming design for IRS-aided MIMO Internet of vehicles system

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基于IRS辅助的MIMO车联网系统联合波束成形设计

Joint beam forming design for IRS-aided MIMO Internet of vehicles system

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