Algorithm Simulation And Implmentati On Of SWIPT Based On Full-duplex MIMO System

With the development of communication technology,the demand for communication quality and speed is growing.In the case of spectrum resources are scarce,the full-duplex(FD)wireless communication systems allow simultaneous transmission and reception at the same time and frequency,which can potentially provide approximately double spectral efficiency improvements.Meanwhile,for the simultaneous wireless information and power transfer(SWIPT),the FD MIMOsystem can achieve the simultaneous transmission of information and energy more efficiently than the half-duplex(FDD/TDD).In this paper,we propose two system models:point to point model and Amplify-and-Forward Relay Networks.Based on the mean-square-error(MSE)criterion,the optimization problem of joint transceiver designs with transmitting power constraint and energy harvesting constraint is formulated.Then,by semidefinite relaxation(SDR)and randomization method,the SDR-based scheme is proposed.Next,aiming to ensure the feasible source beamforming,the successive convex approximation(SCA)-based scheme is also derived by introducing a slack variable and a penalty.Finally,the closed-form suboptimal scheme is presented with some simplified measures to reduce the complexity.The simulation results such as MSE versus signal-noise-ratio(SNR),MSE versus the iteration number,well prove the performance of the proposed schemes for the system model.