Research On Joint Optimization Scheme Of Intelligent Reflective Surface Enhanced 6G IoT Network

The rapid development of the mobile Internet has led to the explosive growth of wireless terminals,massive data and new businesses that have emerged from misconduct have sprung up like mushrooms after a rain.The Fifth Generation of Mobile Communications(5G)technology,with its stable advantages as the main application scenario of the Internet of Things(Io T),provides users with reliable communication connection services.However,in the future Wireless communication still faces the pressure of highly complex network structure,increasing hardware cost,and increasing energy consumption.Obviously,5G network can no longer meet the development needs of networked devices.In response to the above challenges,this paper proposes to apply intelligent reflective surface(IRS)and beamforming technology to the 6G Io T communication system to improve communication capacity,reduce information leakage,enhance transmission robustness,improve reliability,and ensure energy transmission.effectiveness.It focuses on IRS-assisted wireless communication optimization and resource allocation.The main research contents and innovations of this paper are as follows:1.Aiming at the problems of information leakage,eavesdropping and communication security in the IRS-assisted downlink THZ communication system,combined with beamforming technology,this paper considers a multi-antenna base station(BS)to provide secure communication services for single-antenna users.-Input Single-Output,MISO)network model to study the optimization problem with the goal of secrecy capacity.For complex mathematical problems and non-convex optimization problems in which variables are coupled with each other,this paper adopts the alternate optimization iterative algorithm and the approximate solution algorithm based on minorize-maximize(MM)to obtain the approximate optimal solution of the objective function.The influence of parameters such as the number of base station antennas,transmit power,and IRS reflection elements on the security performance of the system is analyzed.The simulation results show that the performance of the scheme in terms of secrecy rate and security capacity is significantly improved.2.Aiming at the problems of short BS transmission distance,large millimeter wave transmission path loss,limited communication capacity,and low Quality of Service(Qo S),this paper constructs an IRS cooperatively assisted multi-antenna BS and multiple single-antenna cell edge users.The millimeter wave(Milli Meter Wave,mm Wave)communication system based on Fractional Programming(FP)and Quadratic Transform(Quadratic Transform)QT)and other methods to obtain the optimal solution of the objective function.The effects of parameters such as the number of BS antennas,the transmit power,and the number of reflective surface elements on the weighted sum-rate(WSR)are simulated and analyzed,which proves the effectiveness of the proposed scheme.3.Aiming at the problems of low transmission efficiency,limited spectrum resources,active device power consumption and total system energy consumption of far-field wireless power transmission(WPT),this paper constructs an IRS-assisted synchronous wireless information and power transmission(Simultaneous Information and Power Transmission).Wireless Information and Power Transfer,SWIPT)secure transmission system model.Using the information transmission characteristics of the proposed system model,an optimization algorithm for maximizing energy efficiency under the corresponding objective function and constraints is designed.The approximate solution algorithm based on Semidefinite Relaxation(SDR)is used to analyze and solve the problem.The simulation results prove the effectiveness of the proposed scheme.The IRS-assisted SWIPT information security transmission is reliable and efficient for improving energy efficiency and spectral efficiency.Effective.