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arXiv 2101.07930cs.NI
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空地协同移动边缘计算:架构、挑战与机遇

Air-Ground Collaborative Mobile Edge Computing: Architecture, Challenges, and Opportunities

Zhen Qin, Hai Wang, Yuben Qu, Haipeng Dai, Zhenhua Wei

摘要:

通过将计算、缓存和网络控制推向边缘,移动边缘计算(MEC)有望在第五代(5G)和未来的第六代(6 G)中发挥主导作用。然而,面对无处不在的快速增长的计算需求,这是不可能的单一MEC范式,以有效地支持高质量的智能服务在终端用户设备(UE)。为了解决这个问题,我们提出了一个空-地协同MEC(AGC-MEC)架构在这篇文章中。所提出的AGC-MEC通过各种协作方式在设想的6 G中集成空中和地面内所有潜在可用的MEC服务器,以最佳方式为UE提供计算服务。首先,我们介绍了AGC-MEC的体系结构,并阐述了三个典型的用例。然后,我们讨论了AGC-MEC中的四个主要挑战以及它们的潜在解决方案。接下来,我们进行了一个案例研究的协同服务放置AGC-MEC验证所提出的协同服务放置策略的有效性。最后,我们强调了AGC-MEC的几个潜在的研究方向。

英文摘要:

By pushing computation, cache, and network control to the edge, mobile edge computing (MEC) is expected to play a leading role in fifth generation (5G) and future sixth generation (6G). Nevertheless, facing ubiquitous fast-growing computational demands, it is impossible for a single MEC paradigm to effectively support high-quality intelligent services at end user equipments (UEs). To address this issue, we propose an air-ground collaborative MEC (AGC-MEC) architecture in this article. The proposed AGC-MEC integrates all potentially available MEC servers within air and ground in the envisioned 6G, by a variety of collaborative ways to provide computation services at their best for UEs. Firstly, we introduce the AGC-MEC architecture and elaborate three typical use cases. Then, we discuss four main challenges in the AGC-MEC as well as their potential solutions. Next, we conduct a case study of collaborative service placement for AGC-MEC to validate the effectiveness of the proposed collaborative service placement strategy. Finally, we highlight several potential research directions of the AGC-MEC.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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