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首页> 外文期刊>Wireless Communications Letters, IEEE >Delay Minimization in Wireless Powered Mobile Edge Computing With Hybrid BackCom and AT
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Delay Minimization in Wireless Powered Mobile Edge Computing With Hybrid BackCom and AT

机译：用混合回复和延迟无线动力移动边缘计算延迟最小化

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摘要

Wireless powered mobile edge computing (MEC) leveraging hybrid passive backscatter communications (BackCom) and active transmissions (AT) for efficient data offloading has been investigated in Internet of Things (IoT) networks, where however the delay minimization problem has not been sufficiently studied. In this letter, we propose to minimize the overall delay for data offloading and computing of all IoT nodes in a hybrid BackCom-AT based wireless powered MEC network. We formulate an optimization problem to jointly optimize the operation time of a power beacon, and the computing frequency, transmit power, and portions of task bits for BackCom offloading, AT offloading and local computing of each IoT node. By introducing auxiliary variables and slack variables, the formulated non-convex optimization problem is transformed into an equivalent but more tractable form and is optimally solved by our proposed bisection-based iterative algorithm (BBIA). Computer simulations verify the quick convergence of the BBIA, and show that our proposed algorithm achieves a much shorter overall delay of all IoT nodes than the baseline schemes.
机译：无线供电的移动边缘计算（MEC）利用混合无源反向散射通信（BackCom）和用于有效数据卸载活性传输（AT）已经在观光噪比（IoT）网络，其中，然而，延迟最小化问题还没有得到充分研究的互联网进行了研究。在这封信中，我们建议数据卸载和混合所有物联网节点的计算总延迟最小化BackCom-AT基于无线供电MEC网络。我们制定的优化问题，以联合地优化功率信标的操作时间，并且计算频率，发射功率，和用于BackCom卸载任务比特的部分，AT卸载和每个节点的IoT的本地计算。通过引入辅助变量和松弛变量，将配制的非凸优化问题转化成等价的，但更容易处理的形式，并且最好通过我们提出了基于二分迭代算法（BBIA）解决。计算机仿真验证BBIA的快速收敛，并表明我们的算法实现比基准方案中的所有节点的IoT的更短的总体延迟。

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