Journal on Communications ›› 2023, Vol. 44 ›› Issue (2): 59-69.doi: 10.11959/j.issn.1000-436x.2023035

• Papers • Previous Articles     Next Articles

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

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

  1. 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)

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

CLC Number: 

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