Fair Optimization Of SINR In MIMO Swipt Muti-user Systems

The working time of nodes in wireless sensor networks is limited by the limited battery power.Wireless charging technology will allow information and energy to be transmitted simultaneously.After receiving the signal,the receiver will use part of the energy to decode the information in a certain way,and the rest of the energy will be stored,so that the restriction of battery power can be eased.When multiple wireless nodes are deployed,the channel performance of each node may vary greatly,and the gap will increase with time.At present,the research on multi-user wireless charging at home and abroad mainly focuses on the usual wireless communication scenarios,and optimizes the system as a whole.Starting from the fairness between nodes in the application scenario of wireless sensor devices,this paper studies the wireless energy-carrying transmission system considering the fairness between users in the presence of inter-user interference.By studying the problem of energy optimization and interference in multi-user wireless portable communication system,a fairness optimization scheme for multi-user in MIMO portable transmission channel is proposed.Through this scheme,more data transmission of available wireless nteodes can be guaraned.This paper presents an optimization algorithm based on FPP-SCA method,which can effectively improve the lower limit of SINR in multi?user systems.Based on the objective of fairness,a Max-min optimization problem is established by establishing a user fairness optimization model.Firstly,it is transformed into an equivalent maximum value problem,and then it is further vectorized into a quadratic constrained quadratic programming(QCQP)problem.On the basis of this QCQP problem,appropriate relaxation is carried out to make it a second order cone programming problem,and the FPP-SCA method is used to solve it iteratively.The system simulation platform is designed and built.Channel generation module,startup module,control and storage module and algorithm solving module are designed.The performance of the algorithm is verified by simulation,and the performance of the simulation results is analyzed.The performance of the optimization algorithm is compared with that of the non-optimization.The simulation results show that this algorithm can effectively improve the communication performance of users with poor channel,and make the communication performance of multiple users exactly the same when the number of iterations is large.