论文标题
多用户移动边缘计算的联合波束形成和计算卸载
Joint Beamforming and Computation Offloading for Multi-user Mobile-Edge Computing
论文作者
论文摘要
移动边缘计算（MEC）被认为是减轻移动设备计算负担的有效方法。为了减少MEC移动设备（MDS）的能耗和时间延迟，多个用户多次输入和多个输出（MU-MIMO）通信被认为是应用于MEC系统。本文的目的是通过共同考虑卸载决策和MU-MIMO波束成形问题来最大程度地减少MD的加权总和。由此产生的优化问题是一个混合企业的非线性编程问题，即NP-HARD。为了解决优化问题，提出了一种基于半决赛的算法来解决卸载决策问题。然后，使用新提出的分数编程方法来处理MU-MIMO波束成形设计问题。仿真结果表明，所提出的算法可以有效地减少计算卸载的能耗和时间延迟。
Mobile edge computing (MEC) is considered as an efficient method to relieve the computation burden of mobile devices. In order to reduce the energy consumption and time delay of mobile devices (MDs) in MEC, multiple users multiple input and multiple output (MU-MIMO) communications is considered to be applied to the MEC system. The purpose of this paper is to minimize the weighted sum of energy consumption and time delay of MDs by jointly considering the offloading decision and MU-MIMO beamforming problems. And the resulting optimization problem is a mixed-integer non-linear programming problem, which is NP-hard. To solve the optimization problem, a semidefinite relaxation based algorithm is proposed to solve the offloading decision problem. Then, the MU-MIMO beamforming design problem is handled with a newly proposed fractional programming method. Simulation results show that the proposed algorithms can effectively reduce the energy consumption and time delay of the computation offloading.
