Joint Optimization of Wireless Resource Allocation and Task Partition for Mobile Edge Computing
Zhuo Juan Yang, Jinfeng Xie, Jie Gao, Zhixiong Chen, Yunjian Jia · 2020
Mobile edge computing (MEC) is a promising technology to provide computing services for resource-constrained mobile users, improving the computing experience. However, energy consumption is also a considerable expense for users. In this paper, we investigate the joint wireless resource allocation, power control and computation offloading for an MEC-based multi-user wireless communication system. The objective of this paper is to minimize the energy consumption of all users. We formulate the problem as an optimization problem and propose to solve the optimal power control strategy by using convex optimization method. Then we derive the semi-closed forms of resource allocation and computation offloading. By using dichotomy algorithm, we have obtained the resource allocation and computation offloading policy. Simulation results show that the proposed scheme effectively reduce the user energy consumption.