Research On UAV-enabled Mobile Edge Computing Network Based On Microwave Power Transmission

With the continuous development of Internet of things technology and artificial intelligence technology,diversified mobile applications are also rising,people’s sensitivity to delay and the demand for computing power are also increasing.Limited by the limited computing power and battery capacity,mobile devices are often difficult to meet the requirements of low latency and low energy consumption.Mobile edge computing has been recognized as one of the most promising technologies to meet this challenge.Mobile edge computing has the advantages of helping users save energy,providing low latency services and ensuring the data security of mobile applications.At the same time,UAV deployment is more flexible and rapid,which makes the UAV based mobile edge computing particularly suitable for some specific application needs or response to unexpected events.However,the demand of UAV flying in the air,communication and transmission with ground equipment and completing various specific applications is very energy consuming,which greatly reduces the endurance time of UAV.Microwave energy transmission technology is expected to extend the endurance time of UAV.Compared with other schemes,microwave energy transmission technology has higher space transmission efficiency.In order to improve the efficiency of microwave energy transmission and provide energy for UAV,this paper first introduces an array space synthesis model based on parabolic antenna.For microwave space power synthesis,when all the antennas reach the same phase,the energy received by the receiving array reaches the maximum.In order to ensure the beam focusing of parabolic antenna array,this paper studies a rotation vector microwave beam focusing algorithm based on alternating iteration,and analyzes the convergence of the algorithm.Compared with genetic algorithm and traditional rotation vector method,this algorithm has the characteristics of fast convergence speed and strong adaptability.The improvement of microwave energy transmission efficiency is helpful for UAV to provide computing and unloading services for users more effectively.Combined with the application of microwave energy transmission technology and UAV mobile edge computing,this paper proposes a network framework of UAV mobileedge computing based on microwave energy supply.Among them,the UAV provides the user with the service of computing and unloading,and in order to make the UAV work continuously,the UAV is charged by the microwave charging station.Based on this scenario,a system model of UAV mobile edge computing network based on microwave energy supply is established.Combined with the actual situation of microwave charging station and UAV,this paper optimizes the decision of UAV unloading,flight path and service time to motivate UAV.In order to solve this non-convex problem,this paper presents an iterative algorithm for multi-variable alternating optimization.The numerical results show that the proposed method and related solutions have higher service efficiency than other traditional methods.