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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Joint Computation Offloading and Interference Management in Wireless Cellular Networks with Mobile Edge Computing
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Joint Computation Offloading and Interference Management in Wireless Cellular Networks with Mobile Edge Computing

机译:带有移动边缘计算的无线蜂窝网络中的联合计算分流和干扰管理

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摘要

Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of mobile devices. An important issue in the MEC paradigm is computation offloading. In this paper, we propose an integrated framework for computation offloading and interference management in wireless cellular networks with MEC. In this integrated framework, we formulate the computation offloading decision, physical resource block (PRB) allocation, and MEC computation resource allocation as optimization problems. The MEC server makes the offloading decision according to the local computation overhead estimated by all user equipments (UEs) and the offloading overhead estimated by the MEC server itself. Then, the MEC server performs the PRB allocation using the graph coloring method. The outcomes of the offloading decision and PRB allocation are then used to distribute the computation resource of the MEC server to the UEs. Simulation results are presented to show the effectiveness of the proposed scheme with different system parameters.
机译:作为增强移动设备的计算能力的一种有前途的方法,移动边缘计算(MEC)引起了极大的兴趣。 MEC范例中的一个重要问题是计算分流。在本文中,我们提出了使用MEC的无线蜂窝网络中用于计算卸载和干扰管理的集成框架。在此集成框架中,我们将计算分流决策,物理资源块(PRB)分配和MEC计算资源分配公式化为优化问题。 MEC服务器根据所有用户设备(UE)估计的本地计算开销和MEC服务器自身估计的卸载开销来做出卸载决策。然后,MEC服务器使用图形着色方法执行PRB分配。然后,将卸载决策和PRB分配的结果用于将MEC服务器的计算资源分配给UE。仿真结果表明了该方案在不同系统参数下的有效性。

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