Multi Objective Optimization for Computational and Communicational Resource Allocation Based on Non-orthogonal Multiple Access, Cloud and Edge Servers Participation in 5 Generation Networks

Mobile Edge computing is a new paradigm that allows users to combat the constraints of mobile devices For overcoming the long delay of cloud computing which decreases the quality of service, the users send their data to the server which is located at the edge of the network instead of sending a part of the program to a cloud server which is located in place far from the users. In this paper, a system which consists of a cell and several users is considered in which the network users to accomplish their computations request service from cloud and edge servers that are participating with each other. It is assumed that the users access the radio spectrum by a Non-orthogonal Multiple Access (NOMA) method and the queue theory is used for modeling the problem from the users and server sides. The main goal is to minimize the total users' energy consumption, the delay in users' receiving service, and the whole cost of using servers. The mathematical model of this problem would result in a multi-objective constraint non-convex optimization problem. SCA method is used to achieve the globally optimum solution. Through the simulation results, it is shown that by the applied assumptions in the proposed model, the amount of energy, delay and total cost of network is decreased around 50%.