Minimizing IoT Energy Consumption by IRS-Aided UAV Mobile Edge Computing
Minimizing IoT Energy Consumption by IRS-Aided UAV Mobile Edge Computing
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DOI：
10.1109/lnet.2022.3222452
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发表时间：
2023-03
期刊：
影响因子：
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通讯作者：
Yousef N. Shnaiwer;Megumi Kaneko
中科院分区：
文献类型：
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作者：
Yousef N. Shnaiwer;Megumi Kaneko
在这封信中，我们设计了新的方法，用于联合优化智能反射面（IRS）的反射系数和路径选择，在无人机（UAV）辅助移动的边缘计算（MEC）系统，服务于物联网（IoT）设备。给出了系统总能耗最小化问题的一般数学表达式。此外，对于两种情况，即当所有IRS元件具有相同或不同的反射系数时，解决了该问题。数值结果突出了允许UAV在本地处理任务和将其中继到地面MEC服务器之间进行选择的好处。
In this letter, we design new methods for jointly optimizing the reflection coefficients of Intelligent Reflecting Surfaces (IRSs) and path selection, in an Unmanned Aerial Vehicle (UAV)-Assisted Mobile Edge Computing (MEC) system that serves Internet of Things (IoT) devices. A general mathematical formulation is presented for the problem of minimizing the total energy consumption of the system. Furthermore, the problem is solved for two cases, namely, when all IRS elements have the same or different reflection coefficients. Numerical results highlight the benefits of allowing the UAV to choose between locally processing tasks and relaying them to the ground MEC server.