Optimal Design Of Distributed Antenna Network Based On Wireless Energy Harvesting

Recently,wireless network has developed rapidly,and the number of devices,users,and data traffic have increased rapidly,which led to higher energy consumption and more attention to energy consumption.Therefore,the "green network" aimed at reducing system energy consumption and improving system energy efficiency(EE)is becoming one of the future development directions of mobile communication network.Distributed antenna system(DAS)can effectively expand network coverage,increase system capacity and improve service quality,etc.,where this problem can be alleviated.DAS is also one of the key technologies to achieve "green network".In addition,radio frequency(RF)technology and energy harvesting(EH)technology can provide stable and continuous power supply for devices with limited energy in the network,and extend the life of the network effectively.It is not only low-cost and green,but also has a significant effect in reducing energy consumption and improving energy efficiency.Therefore,this paper integrates the characteristics of distributed antenna technology and energy harvesting technology,combines these two technologies and studies the optimization problem of distributed antenna network based on wireless energy harvesting,where jointly optimizes the transmission time and power allocation.It also gives lower energy consumption and higher energy-efficient resource allocation schemes which provides a theoretical basis for the green network.The specific work content is as follows:(1)The total energy consumption optimization scheme of the distributed antenna network based on wireless energy harvesting is studied.Distributed antenna system is composed of a central processor,multiple DA ports with independent powered supply,and multiple users.In order to meet the users' requirements for a certain information transmission rate and a certain amount of energy harvesting,the total energy consumption of the distributed antenna system is minimized.Based on the above constraints and system goals,a mathematical optimization model is established,and the minimum total energy consumption in the system is obtained by jointly optimizing transmission time and power allocation.To solve this problem,new variables are introduced to replace the coupled variables in the problem,the original non-convex problem is converted to a convex problem,and then the Lagrange multiplier method is used to find the optimal solution to the problem.At the same time,a benchmark scheme for minimizing energy consumption with fixed time allocation is proposed.The results of simulation experiments show that compared with the benchmark scheme,the proposed scheme has reduced network energy consumption.Different from the existing work,this work jointly optimizes the transmission time and power allocation,which is more difficult to solve,and uses a nonlinear EH model that is closer to the actual EH circuit,and the conclusions obtained are more general and closer to the actual situation.(2)Next this paper further studies energy efficiency optimization scheme of distributed antenna networks based on wireless energy harvesting.Based on the above research,a mathematical model for energy efficiency optimization is constructed.The system goal is to maximize the energy efficiency of the system,and the system constraints are to satisfy the service quality of information users and meet the energy demand of energy users.Then it considers users' service quality requirements,studies system energy efficiency,and maximizes system resource utilization.Since the constructed optimization problem is non-convex,an iterative algorithm based on Dinkelbach method is designed to find the global optimal solution.At the same time,a benchmark scheme for maximizing energy efficiency with a fixed allocation time is proposed.The results of simulation experiments show that the energy efficiency of the proposed scheme is effectively improved compared with the benchmark scheme.