摘要：With the swift progress of Internet of Things (IoT) technologies, the number of IoT devices has grown exponentially, leading to an increasing demand for computational power and system stability. Mobile edge computing (MEC) is a powerful solution that allows IoT devices to offload data to the edge for computing. In situations involving disasters or complex terrains, establishing ground-based stations may be challenging in providing computational services. Edge computing frameworks built with unmanned aerial vehicles (UAVs) and high-altitude platforms (HAPs) can provide airborne computational services for IoT devices situated in environments with disasters or complex terrains. In this article, we design a three-tier framework consisting of ground users (GUs), UAVs, and HAP, offering MEC services for GUs. Considering the randomness and dynamism of task arrivals and the wireless communication quality of devices, we propose an algorithm supporting nonorthogonal multiple access (NOMA) communication in aerial access networks. The objective of the algorithm is to reduce the overall energy consumption of the system while ensuring system stability. Employing stochastic optimization techniques, we convert the task offloading and resource allocation problem into several parallel solvable subproblems. We also provide a theoretical analysis of the algorithm. Through a series of comparative experiments, we demonstrate the feasibility and effectiveness of our proposed dynamic energy-efficient computation offloading (DEECO) algorithm.

关键字：Task analysis; Autonomous aerial vehicles; Servers; Internet of Things; NOMA; Computational modeling; Atmospheric modeling; Dynamic task offloading; Internet of Things (IoT); mobile edge computing (MEC); nonorthogonal multiple access (NOMA); unmanned aerial vehicle (UAV)

ISSN号：2327-4662

卷、期、页：卷11期23: 37617-37629

发表日期：2024-12-01

期刊分区（SCI为中科院分区）：一区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：IEEE INTERNET OF THINGS JOURNAL

参与作者：李恒,陈莹,李开心,杨耀宗

第一作者：黄霁崴

论文类型：期刊论文

论文概要：李恒,陈莹,李开心,杨耀宗,黄霁崴，Dynamic Energy-Efficient Computation Offloading in NOMA-Enabled Air-Ground-Integrated Edge Computing，IEEE INTERNET OF THINGS JOURNAL，2024，卷11期23: 37617-37629

论文题目：Dynamic Energy-Efficient Computation Offloading in NOMA-Enabled Air-Ground-Integrated Edge Computing