IRS-Assisted Multi-Target Beamforming Algorithm for Millimeter-Wave MIMO System
It is a well-known problem that the distributed intelligent reflective surfaceassisted millimeter-wave multiple-input multiple-output system cannot balance energy efficiency and spectral efficiency.To this end,an active and passive beamforming algorithm with multi-objective optimization based on energy efficiency and spectral efficiency trade-off has been proposed.Firstly,a multi-objective optimization framework for EE and SE is developed using the linear weighting method.Secondly,the alternating optimization algorithm is used to jointly optimize active beamforming and passive beamforming.Finally,the semi-positive definite relaxation algorithm is used to solve the non-convex unit mode constraint problem of IRS.Simulation results show that the algorithm can flexibly adjust the trade-off coefficient according to the actual communication service to achieve the balance between EE and SE,which has certain effectiveness.
NETL
NSTL
万方数据
