Computing Resource Allocation Model Based on Local Device Power in MEC

The mobile Internet has got a such great progress, the amount of network data has exploded, and the demand of users has also increased. How to solve the problem of energy consumption and time delay in mobile edge computing becomes the key to improve the quality of service. This paper studies how to complete the task assignment between user device and edge server with the minimum cost, where the minimum cost is a weighted function of energy consumption and time delay. This minimum cost can be effectively compared with different optimization algorithms. Firstly, this paper establishes a 0-1 integer programming model including energy consumption and time delay factors. Secondly, the branch and bound algorithm is used to find the optimal solution. Finally, the simulation results show that the optimization algorithm is flexible and can allocate computing resources scientifically to multiple users.The optimization model can not only automatically reduce the energy consumption and time delay of user terminal device, but also artificially selectively reduce the energy consumption and time delay of terminal device by introducing the parameter of residual power of terminal device. In this paper, the interference between lines in ultra-dense networks is taken into account, and a key parameter, the maximum calculation frequency without interference, is proposed to limit the maximum number of devices for offloading calculation in a cell. The above two methods are for the convenience of edge computing, which can be used in practice to improve the users’ experience.