可重构智能表面辅助的毫米波无线携能通信系统研究OA

A Reconfigurable Intelligent Surface(RIS)assisted Millimeter Wave Simultaneous Wireless Information and Power Transfer(SWIPI)system is proposed,and a multi-user resource allocation optimization scheme is constructed with the objective of maximizing the minimum user rate.A hybrid resource allocation optimization model combining transmit beamforming design,RIS module split ratio decision and phase shift design is developed by sub-modular design of the RIS with both information and energy assisted transmission,taking into account the transmit power limit of the base station,the minimum energy demand limit of all energy receiving devices and the phase shift constraint of different modules of the RIS.This non-convex multivariate coupled constrained optimization problem is solved by an alternating optimization algorithm,a semi-positive definite relaxation algorithm,a Gaussian randomization algorithm and a Riemann flow shape optimization algorithm.Simulation results show that the proposed joint optimization algorithm significantly improves the system performance in terms of both information transfer and energy harvesting compared to existing resource allocation schemes.