Study On Research Allocation In Multi-carrier Simultaneous Wireless Information And Power Transfer Systems

The replacement of wireless communication brings great convenience to people's lives.At the same time,the upgrade of communication system also enhances the user experience.These changes are not only required to upgrade the hardware system,but also the allocation of wireless resources and high utilization rate.Simultaneous wireless information and power transfer is a promising technology that combines wireless information transmission and wireless power transmission and is an effective method to solve the energy-constrained problem.This technology can be applied to energy-constrained Internet of Things,sensing and other networks,that is,using electromagnetic waves can simultaneously carry information and energy characteristics,improve the utilization of energy nodes redundant resources.The application of SWIPT technology is divided into multiple stages,namely,downlink energy transmission and uplink information transmission,downlink simultaneous information and energy transmission,and downlink energy transmission to the interference machine to improve the uplink information transmission security rate.At present,the TS and PS methods are used more,but the computational complexity of this method for solving power and subcarrier allocation is higher.Recently,in the literature,it is proposed to divide all subcarriers into two parts during subcarrier allocation,which are used for information transmission and energy transmission respectively.The computational complexity is relatively low.The existing scenarios for this strategy are downlink wireless energy transmission or downlink supply.The uplink information transmission has certain defects in the two scenarios,that is,the target node needs the energy node to perform power supply,and the information interaction between the two is also required.This paper studies the resource allocation of multi-carrier SWIPT communication systems.First,consider a single-user system that includes one base station and one user.The communication between the base station and the user is divided into two phases.The base station transmits information transmission and energy transmission to the user.In the second phase,the user uses the energy collected from the base station to transmit back information to the base station.The optimized objective function is to maximize the weighting value of uplink and downlink rate,and the purpose of objective function is to dynamically change the optimized target by using a modulation weighting factor,and the optimized variable is the uplink and downlink subcarrier allocation set and the power,constraints include the constraints of the total power of the base station,the energy causality constraint,and the constraints of the set of subcarriers.In this paper,the optimal joint resource allocation algorithm based on Lagrangian dual method and ellipsoid method is proposed and compared with the performance of two benchmark algorithms,namely,the subcarrier fixed algorithm and the heuristic algorithm.In the simulation part,the weighted sum of the uplink rate and the downlink rate is verified by Monte Carlo method,and the computer simulation results verify the effectiveness of the proposed algorithm.Then,based on the above research,we will further study the resource allocation problem of multi-user SWIPT communication system.The system includes a base station and terminal users.The base station transmits energy to the user and performs Information exchange.The communication between the base station and user is also divided into two phases.The first phase base station transmits information to the user,and at the same time,the energy is transmitted from the base station to the user at this stage;the second phase terminal user uses the energy obtained from the base station to support Uplink information transmission.Both the base station and the user have a single antenna to maximize the weighted values of the uplink and downlink rate.The optimal allocation strategy is obtained by optimizing the subcarrier allocation set and the power,the simulation part simulates the information transmission rate of the system.The computer simulation results verify the effectiveness of the proposed algorithm,and the computer simulation results verify the effectiveness of the proposed algorithm.