Energy Allocation Technology Of 5G Wireless Network Relay Transmission System

In recent years,the increasing researches on 5G mobile communication technology will bring "faster,better and more reliable" user experience.But the energy consumption and lack of spectrum resources has become more prominent,so we need to reduce the communication system energy consumption and improve the spectrum utilization.Because the cooperative relay technology cannot only reduce the energy consumption of the communication terminals,and also improve the throughput,spectrum efficiency,capacity and coverage of the system without increasing the complexity of the communication system,it is hot topic in the 5G researches.Energy harvesting technology absorbs energy from the environment to provide the energy needed for system.It can save energy and reduce system energy consumption,and receive extensive research.In this paper,we combine cooperative relay technology with energy harvesting technology to study the optimal energy allocation algorithm in different scenarios,to cope with the system minimize transmission time optimization problem.This algorithm can make contribution to solve the energy consumption and spectrum deficiency problem in 5G mobile communication system.The main work can be divided into the following two sections:In the first section,this paper studied the problem of off-line energy optimal allocation of relay transmission system.Firstly,the energy distribution algorithm based on the minimization of transmission time in single-user transmission scene based on energy harvesting technology is analyzed.Then,this paper introduced the cooperative relay node,through the analysis and derivation of the one-way relay transmission time minimization problem designed an optimized energy allocation algorithm.At last,the problem of minimizing the time of two-way relay transmission is analyzed.Based on the established mathematical optimization model,an optimized energy allocation algorithm is proposed.The simulation results show that the proposed algorithm can effectively reduce the energy consumption of the system and improve the transmission efficiency.In the second section,this paper studied the problem of online energy optimal allocation of relay transmission system.In the Underlay cognitive wireless relay network,the off-line energy allocation algorithm cannot be applied due to the time-varying characteristic of the channel between the primary and secondary channels and the unpredictability of the energy arrival sequence.For the consideration of that,this paper proposes an on-line energy allocation algorithm with the minimum transmission time,because the cognitive user can optimizes the transmission power according to the current energy,the amount of data and interference threshold.The simulation results show that the proposed algorithm can adapt to the change of channel state and the uncertainty of energy harvesting and improve the transmission efficiency of the system.