Research On Energy Management And Resource Planning Method Of SWIPT Networks Based On Nonlinear Energy Harvesting

With the massive commercial use of 5G technology,the situation of the Internet of Everything has gradually formed.Energy constrained networks such as wireless sensor networks and remote wireless LANs have suffered from continuous energy supply problems.Simultaneous wireless information and power transfer(SWIPT)technology enables the simultaneous transmission of information and energy,and extends the life cycle of energy constrained networks.In the SWIPT network based on nonlinear energy harvesting model,this thesis studies the optimal collection problem of wireless energy and the optimal allocation of network resources respectively.Firstly,based on the nonlinear energy harvesting(EH)model,a wireless energy receiving mechanism and energy matching strategy are proposed,which effectively avoid the problems of low input power threshold,low conversion efficiency and overly complex EH management feedback regulation of the nonlinear energy harvesting circuit.This mechanism designs the EH circuit of the receiver in layers and groups,while taking into account the scalability of the receiver’s energy harvesting circuit.First,the optimal input power of a separate nonlinear EH circuit is used as the quantization base to quantify the received signal power,and then,the quantized power is used to match the corresponding proportion of the EH circuit,and finally,a similar quantization matching method is used to supply energy to each energy demand terminal.The simulation results show that the hierarchical grouping structure of the proposed model EH circuit extends the receiving domain of the receiver’s input power,provides a reference scheme for the integration and expansion of the existing receiver’s EH circuit,an d t he q u an ti zed po wer m at ch in g m et ho d i mpr o ves t h e E H effi cien cy.Secondly,in the multi-user MISO-SWIPT security network,in order to ensure communication security and energy supply,artificial noise and energy signals are embedded in the transmitted signals.In order to improve the collection efficiency of wireless energy in the network,a quantified power-splitting(QPS)receiver architecture is proposed based on the nonlinear energy harvesting model.Under the constraints of the security signal-to-interference-plus-noise ratio(SINR)threshold and the maximum transmit power of the base station,after meeting the user’s SINR requirements,EH requirements and other conditions,an optimization problem is constructed to maximize the throughput of the SWIPT network.In order to solve the nonconvex optimization problem,a hierarchical optimization method is used.First,according to the characteristics of the QPS receiver EH circuit,an optimization algorithm based on the optimal receiving power of the circuit is proposed,and a power mapping table is constructed through the optimization algorithm,from which the optimal power ratio to meet the user’s EH needs is obtained.Then,variable replacement,semidefinite relaxation,dichotomous optimization and other methods are used to solve the nonconvex optimization problem.The simulation results show that QSP receiver structure can maintain high EH conversion efficiency,and can maintain high network throughput compared with the power splitting receiver structure.