期刊
IEEE WIRELESS COMMUNICATIONS LETTERS
卷 9, 期 6, 页码 787-790出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2020.2969664
关键词
MIMO communication; Approximation algorithms; Linear programming; Optimization; MISO communication; Transmitters; Receivers; Intelligent reflecting surface; MIMO; phase shift; alternating optimization; MM
资金
- National Natural Science Foundation of China [61671364, 61941118]
- Innovation Team Research Fund of Shaanxi Province [2019TD 013]
In this letter, we consider an intelligent reflecting surface (IRS) assisted Guassian multiple-input multiple-output (MIMO) wiretap channel in which a multi-antenna transmitter communicates with a multi-antenna receiver in the presence of a multi-antenna eavesdropper. To maximize the secrecy rate of this channel, an alternating optimization (AO) algorithm is proposed to jointly optimize the transmit covariance R at transmitter and phase shift coefficient Q at IRS by fixing the other as a constant. When Q is fixed, existing numerical algorithm is used to search for global optimal R. When R is fixed, three sucessive approximation to the objective function to surrogate lower bound is applied and minorization-maximization (MM) algorithm is proposed to optimize the local optimal Q. Simulation results have be provided to validate the convergence and performance of the proposed AO algorithm.
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