Joint Optimization Strategy For Wireless Hybrid Transmission Based On Backscattering

As an outstanding representative of information and communication technology,the Internet of Things(Io T)has received more and more attention in the 5G era.However,the energy consumption of mass equipment in the Internet of Things limits its application and development.Backscattering technology loads the information that needs to be sent onto the ambient RF signal,avoiding the use of energyconsuming active devices and greatly reducing energy consumption.Wireless energy harvesting technology collects energy from environmental electromagnetic wave signals and solves the problem of energy sources of Io T sensor devices.In this paper,backscattering technology is combined with active traditional transmission,and wireless energy harvesting is used to provide energy for active transmission,making it possible for an Io T transmission network with low power consumption and good reliability.In this paper,we study a multi-user device that includes traditional active transmission and a novel backscatter hybrid transmission network,where active transmission relies on a self-generated carrier,and passive transmission modulates information onto an ambient RF signal.All Io T devices are powered by omnidirectional antennas that transmit RF signals and can be switched between two modes of information transmission.The transmission scheduling of the Io T device and the energy allocation of the power beacon station(PBS)are jointly optimized,and the goal is to optimize the total throughput of the system to construct a convex optimization problem.A distributed iterative optimization algorithm is given for this problem,which reduces the computational complexity and theoretically proves and solves the algorithm.The simulation of the algorithm is verified by using the MATLAB simulation platform.The simulation results show that the algorithm can converge and approximate the optimal performance within 15 iterations.Based on the consideration of improving the total throughput of D2 D network,we further study the transmission mechanism in the above model.In order to make the energy utilization of the base station radiation higher,the beamforming strategy is used for the PBS to make the energy radiation prone to users with good channel conditions.In addition,when a pair of users is transmitting,other Io T devices can choose to be relays to assist and construct new mathematical problems.For this nonconvex problem,three heuristic algorithms are proposed.The simulation results show that a simple adaptive strategy can achieve maximum throughput when the total energy of the base station is different.In summary,we propose backscattering and wireless energy harvesting for the problem of insufficient energy in D2 D networks in the Internet of Things.The effect of hybrid transmission over separate active transmission or passive transmission is greatly improved.The innovation of this paper is to propose the combination of active transmission and passive transmission and the novel system model.In addition,the introduction of relay cooperation and three heuristic iteration algorithms are also the highlights of this paper.