Multi-dimensional Edge Network Resource Sharing And Incentive Mechanism Based On D2D Transmission

With the evolution of the Internet era,mobile intelligent devices and Internet applications have become an indispensable part of people’s daily life.This facilitates people’s social life,but it also brings great pressure and challenge to wireless communication network.Due to the hi gh demand of mobile applications for delay and bandwidth,and the decentralization of massive data in geographical location,the transmission delay and bandwidth become the bottleneck that cloud computing mode cannot overcome.Research shows that 5G commun ication system will deploy edge devices with ultra-dense and rich resources.Therefore,a large number of mobile devices at the edge of the network are in idle state,and the resources of these mobile devices at the edge can be fully utilized,which can so lve the above problems to a certain extent.In order to relieve the pressure caused by surging data and improve the resource utilization on the edge network side,this topic will focus on the research of resource sharing and incentive mechanism in mobile edge computing.In this paper,a multi-dimensional resource sharing framework is constructed in the scene of mobile edge computing.Multi-dimensional heterogeneous resources can be shared between edge mobile devices through D2 D link,thus forming a multi-dimensional resource sharing framework.Under this framework,this paper mainly studies how to optimally assign tasks to each mobile device to minimize the total energy consumption cost and maximize the number of tasks completed.To this end,this paper proposes a general task model,which divides each task into several successive subtasks according to the function and resource requirements of the task.Based on the task model,an optimization problem of joint optimization of energy consumption and minimization of task failure probability is constructed,and the offloading time and location of each subtask are optimized.Simulation results show that the resource sharing scheme proposed in this paper is superior to the existing solutions in terms of total cost and task failure probability,which can reduce the total cost by at least 10% and the task failure probability by at least 46%.In practical systems,due to the self-interest of users,they usually do not contribute their limited resources to others for free use.Therefore,it is necessary to design a reasonable incentive framework to motivate users to participate in resource sharing and ensure the fairness of participants’ benefits.Based on the resource sharing framework,this paper designs two incentive frameworks,one is the incentive framework based on the fixed price set in advance,and the other is the Nash bargaining framework based on the participants’ pricing through negotiation.The simulation results show that compared with the pay-based incentive framework,Nash bargaining framework has a greater performance improvement in the fairness of the system and the user’s participation,which can increase the fairness of the system by at least 80% and the user’s participation by at least 50%.To sum up,this paper proposes a multi-dimensional resource sharing framework and two incentive frameworks based on D2 D transmission.The simulation results confirm the superiority and feasibility of the resource-sharing framework,and provide theoretical and data support for the research of multidimensional resource-sharing problems and related incentive mechanisms.