Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
复制标题
5G 异构网络中移动边缘计算的节能卸载
DOI：
10.1109/access.2016.2597169
复制
发表时间：
2016-01-01
期刊：
影响因子：
3.9
通讯作者：
Zhang, Yan
中科院分区：
文献类型：
--
作者：
Zhang, Ke;Mao, Yuming;Zhang, Yan
移动边缘计算（MEC）是一种很有前景的范式，可在第五代（5G）网络中靠近移动设备提供云计算能力。在本文中，我们研究了5G异构网络中移动边缘计算的高能效计算卸载（EECO）机制。我们构建了一个优化问题，以最小化卸载系统的能耗，其中考虑了任务计算和文件传输的能量成本。结合5G异构网络的多接入特性，我们接着设计了一种EECO方案，该方案联合优化卸载和无线资源分配，以在延迟约束下获得最小能耗。数值结果表明我们提出的EECO方案提高了能效。
Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this paper, we study energy-efficient computation offloading (EECO) mechanisms for MEC in 5G heterogeneous networks. We formulate an optimization problem to minimize the energy consumption of the offloading system, where the energy cost of both task computing and file transmission are taken into consideration. Incorporating the multi-access characteristics of the 5G heterogeneous network, we then design an EECO scheme, which jointly optimizes offloading and radio resource allocation to obtain the minimal energy consumption under the latency constraints. Numerical results demonstrate energy efficiency improvement of our proposed EECO scheme.