Journal on Communications ›› 2021, Vol. 42 ›› Issue (4): 185-193.doi: 10.11959/j.issn.1000-436x.2021060

• Papers • Previous Articles     Next Articles

Secure beamforming design for IRS-assisted SWIPT Internet of things system

Zhengyu ZHU1,2,3,4, Jinlei XU1, Gangcan SUN1,2,4, Ning WANG2,3, Wanming HAO2,3,4   

  1. 1 Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450001, China
    2 School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
    3 Joint International Laboratory of Intelligent Network and Data Analysis in Henan Province, Zhengzhou University, Zhengzhou 450001, China
    4 China Industrial Technology Research Institute, Zhengzhou University, Zhengzhou 450001, China
  • Revised:2020-11-16 Online:2021-04-25 Published:2021-04-01
  • Supported by:
    The National Natural Science Foundation of China(61801434);The National Natural Science Foundation of China(61801435);The National Natural Science Foundation of China(61771431);China Post-doctoral Science Foundation Project(2020M682345);The Science and Technology Research Project of Henan Province(192102310178);The Science and Technology Innovation Project of Zhengzhou(2019CXZX0037);The National Key Re-search and Development Program of China(2019QY0302);The National Key Re-search and Development Program of China(2019YFB1803200)

Abstract:

In order to meet the new requirements of intelligent signal processing deployment and physical layer security for green interconnection of things, a design method of secure beamforming was proposed to solve the problem of the shortage of sustainable energy supply in the information and energy transmission at the same time Internet of things (IoT) system assisted by intelligent reflecting surface (IRS).Considering the constraints of secrecy rate, transmit power and IRS reflection phase shift, the optimization problem was modeled as a non-convex quadratic programming problem with quadratic constraints, aiming at maximizing the acquisition power of energy collector, and jointly optimizing the base station transmit beamforming matrix, jammer covariance matrix and IRS phase shift.The non-convex quadratic problem was transformed into an equivalent convex problem by using the relaxation variable, semidefinite relaxation method, auxiliary variable and sequence parameter convex approximation method, and an alternative iterative optimization algorithm was proposed to obtain the feasible solution of the original problem.Simulation results show that the proposed algorithm can converge quickly and improve performance effectively compared with the benchmark scheme.

Key words: intelligent reflecting surface, Internet of things, simultaneous wireless information and power transfer system, secure beamforming, energy harvest

CLC Number: 

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