Optimization Scheme For Cooperative Mobile Edge Computing Based On Wireless Energy Transfer

Mobile edge computing(MEC)is already widely utilized in various areas in the 5G era.By deploying edge servers on the edge side of the radio access network,mobile terminals could migrate their tasks to the edge servers.Wireless power transfer(WPT),which solves the problem of power supply limitations by emitting electromagnetic waves to supply stable energy to mobile devices.In systems based on wireless power transfer for cooperative mobile edge computing,the short-view transmission link of an Unmanned Aerial Vehicle(UAV)provides a guaranteed service for edge computing on mobile devices,increasing the efficiency of wireless power transfer and the ability of the device to offload computationally to the data.Wireless energy transfer networks could be influenced and hindered by the double proximity effect,whereby users further away from the Hybrid Access Point(HAP)receive less energy than those closer to the HAP,but need to consume more power to offload their computing tasks.In order to overcome the effect of the dual far and near effect,this paper proposes an optimization scheme for cooperative mobile edge computing based on wireless energy transfer,and combines the UAV in terms of system time slot division and mobile device bandwidth allocation to optimize the overall system performance.1.A time-slot allocation optimization method for UAV-based wireless energy transfer cooperative mobile edge computing is proposed,providing a non-equivalent 2:1:1 time-slot allocation scheme.Specifically,the UAV utilizes the WPT in the first time period to transfer energy for both the remote and proximal mobile devices at a distance from it;the device relatively distant from the UAV transfers a portion of the offloading task to the device closer to the UAV in the second period,the electrical energy of the closer device collects energy from the UAV;the mobile device closer to the UAV transfers a portion of the offloading task to the devices closer to the UAV in the third period.This method utilizes the synergy of users to jointly optimize the transmit power and time slot allocation of mobile devices to minimize the total energy consumption of the UAV.2.Based on a non-equal time slot allocation scheme,a resource allocation method for UAV-based wireless energy transfer cooperative mobile edge computing is proposed.User closer to the UAV in this method could help another user forward tasks by using a different bandwidth,which could overcome inter-device communication interference in this way.The mobile device closer to the UAV uses a portion of the power obtained from the UAV and the allocated bandwidth to assist in transferring the offload data task of the more distant mobile device to the UAV in the third period,sending its own offload data task to the UAV via the remaining energy and bandwidth.Simulation results show that both the non-equal time slot allocation optimization scheme and the bandwidth allocation method in this paper can overcome the effect of the dual far and near effect to a certain extent,with the bandwidth allocation method overcoming the communication hindrance caused by the mobile devices.In the simulation results,the feasibility of the different algorithms is verified,and ultimately both methods are able to improve the overall effectiveness of this network system.