Resource Allocation Algorithm For Massive MIMO Systems With Energy Harvesting

With the wireless communication services and the widespread popularization of product intelligence developing rapidly,the energy consumption problem of the communication industry is becoming more and more serious.New energy harvesting technology based on radio frequency signals about wireless power transfer,transmitting or receiving information and power simultaneously.As a leading massive Multiple-Input Multiple-Output(MIMO)system,it can simultaneously support multiple information flows and energy flows,providing better data rates and energy efficiency,and can significantly improve the performance of wireless power transfer.The combination of communication technology and energy harvesting technology can meet the demand of information exchange's validity and reliability,at the same time,easing the shortage of energy and spectrum resources,which has broad application prospect.This paper focuses on research about resource allocation algorithm for Massive MIMO systems with energy harvesting,including the following issues:Firstly,the history of the development of massive MIMO systems based on energy harvesting are expounded,proposing system-related technologies,and the existing researches on resource allocation algorithm of massive MIMO systems based on energy harvesting are summarized.Secondly,considering the energy transaction situation between the power beacon,sensor nodes and the base station,aiming at massive MIMO systems based on energy harvesting,a joint price optimization resource allocation algorithm is proposed.By modeling network revenue function for the revenue of power beacon,sensor nodes and energy harvesting strategies,the solution of resource allocation optimization under the conditions of transmission rate,transmission power,energy harvesting time and other constraints,to solve the joint optimization allocation scheme,the price about the optimal revenue of the power beacon and sensor nodes,the energy harvesting strategies about the optimal revenue of the power beacon are determined.The proposed algorithms are validated that the revenue optimization of the power beacon and overall network performance optimization via computer simulation software.Finally,considering the energy efficiency optimization of the system in energy transaction scenarios between the power beacon,sensor nodes and the base station,an energy-efficient resource allocation algorithm based on energy harvesting is proposed for massive MIMO systems with energy harvesting.Modeling the energy efficiency of the network function about the power beacon's transmit power,sensor node selections and energy harvesting strategies.Based on the energy efficiency maximization criterion,to guarantee the Quality of Service(QoS),the power beacon's transmit power limit and energy harvesting time constraints,achieving joint optimization designs of the power beacon's transmit power,energy harvesting time allocation and the energy efficiency of the system.Simulation results show that the proposed algorithm can optimize the energy efficiency of the system under the conditions of QoS requirements of the sensor nodes and the power beacon's transmit power limit via computer simulation software.