Mobile edge computing (MEC) provides users with a high quality experience (QoE) by placing servers with rich services close to the end users. Compared with local computing, MEC can contribute to energy saving, but results in increased communication latency. In this paper, we jointly optimize task offloading and resource allocation to minimize the energy consumption in an orthogonal frequency division multiple access (OFDMA)-based MEC networks, where the time-sensitive tasks can be processed at both local users and MEC server via partial offloading. Since the optimization variables of the problem are strongly coupled, we first decompose the original problem into two subproblems named as offloading selection (PO), and subcarriers and computing resource allocation (PS), and then propose an iterative algorithm to deal with them in a sequence. To be specific, we derive the closed-form solution for PO, and deal with PS by an alternating way in the dual domain due to its NP-hardness. Simulation results demonstrate
@article{arxiv.2008.09504,
title = {Energy Minimization for Mobile Edge Computing Networks with Time-Sensitive Constraints},
author = {JunJie Yu and Han Wang and Mingxiong Zhao and WenTao Li and HuiQi Bao and Li Yin and Mi Wu},
journal= {arXiv preprint arXiv:2008.09504},
year = {2020}
}
Comments
IEEE GLOBECOM 2020. arXiv admin note: substantial text overlap with arXiv:2003.12719