D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks
D2D Communications Meet Mobile Edge Computing for Enhanced Computation Capacity in Cellular Networks
复制标题
D2D 通信满足移动边缘计算，增强蜂窝网络的计算能力
DOI：
10.1109/twc.2019.2896999
复制
发表时间：
2019-03-01
影响因子：
10.4
通讯作者：
Cai, Yunlong
中科院分区：
文献类型：
--
作者：
He, Yinghui;Ren, Jinke;Cai, Yunlong
未来的5G无线网络旨在支持高速数据通信和高速移动计算。为了实现这一目标，最近开发了移动边缘计算（MEC）和设备到设备（D2D）通信，两者都利用了接近性来获得更好的性能。在本文中，我们将D2D通信与MEC集成，以进一步提高蜂窝网络的计算能力，其中每个设备的任务可以卸载到边缘节点和附近的D2D设备。我们的目标是在通信和计算资源限制的情况下，使蜂窝网络支持的设备数量最大化。优化问题被表述为一个不容易求解的混合整数非线性问题。为了解决这个问题，我们把它解耦成两个子问题。第一个最小化给定D2D对所需的边缘计算资源，而第二个通过优化D2D配对最大化支持的设备数量。证明了两个子问题的最优解构成了原问题的最优解。然后，通过求解两个子问题，给出了原问题的最优算法，并给出了一些有意义的结果，如最优发射功率分配和任务卸载策略。最后通过大量的数值模拟结果验证了我们的建议，结果表明将D2D通信与MEC相结合可以显著提高系统的计算能力。
The future 5G wireless networks aim to support high-rate data communications and high-speed mobile computing. To achieve this goal, the mobile edge computing (MEC) and device-to-device (D2D) communications have been recently developed, both of which take advantage of the proximity for better performance. In this paper, we integrate the D2D communications with MEC to further improve the computation capacity of the cellular networks, where the task of each device can be offloaded to an edge node and a nearby D2D device. We aim to maximize the number of devices supported by the cellular networks with the constraints of both communication and computation resources. The optimization problem is formulated as a mixed integer non-linear problem, which is not easy to solve in general. To tackle it, we decouple it into two subproblems. The first one minimizes the required edge computation resource for a given D2D pair, while the second one maximizes the number of supported devices via optimal D2D pairing. We prove that the optimal solutions to the two subproblems compose the optimal solution to the original problem. Then, the optimal algorithm to the original problem is developed by solving two subproblems, and some insightful results, such as the optimal transmit power allocation and the task offloading strategy, are also highlighted. Our proposal is finally tested by extensive numerical simulation results, which demonstrate that combining D2D communications with MEC can significantly enhance the computation capacity of the system.