Toward Offloading Internet of Vehicles Applications in 5G Networks

Toward Offloading Internet of Vehicles Applications in 5G Networks
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致力于在 5G 网络中卸载车联网应用

DOI:
10.1109/tits.2020.3017596
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发表时间:
--
影响因子:
8.5
通讯作者:
Xiaolong Xu
Xiaolong Xu
中科院分区:
工程技术1区
文献类型:
--
作者:
Shaohua Wan;Renhao Gu;Tariq Umer;Khaled Salah;Xiaolong Xu

文献摘要

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车联网系统对实时通信和高性能的需求促使研究人员研究边缘计算(EC)的新技术。随着第五代(5G)网络的快速发展,低时延、高可靠性和上级通信效率的特点将为EC-IoV系统的发展带来历史性机遇。在支持5G的EC-IoV系统中,5G基站(gNB)的极端密集化提供了快速可靠的网络接入和信息交互。然而,这种密集化也给网络带来了更复杂的连接,这增加了边缘设备的资源迁移和调度的难度。因此,在降低系统中的能量和时间成本的前提下,管理边缘设备的资源,同时避免过载或欠载的情况,以保持系统的稳定性,仍然是一个挑战。在本文中,提出了一个支持5G的EC-IoV系统框架,以增强 * 现有EC-IoV系统的性能。在三种不同的情况下介绍了支持5G的EC-IoV系统中的具体计算卸载。通过以上案例,本文总结出两种通信模式,并给出了相应的资源分配策略。所提出的系统的性能进行评估,并与现有的系统进行比较。最后,在这一领域的未来研究方向被认为是。
The demand for real-time communication and high performance of the Internet of Vehicles (IoV) system has caused researches to investigate new techniques in edge computing (EC). With the rapid development of the fifth- generation (5G) network, the features of low delay, high reliability and superior communication efficiency can bring historic opportunities for the development of the EC-IoV system. In the 5G-enabled EC-IoV system, extreme densification of 5G base stations (gNBs) provides rapid and reliable network access and information interaction. However, this densification also brings more complex connectivity to the network, which increases the difficulty of resource migration and scheduling for the edge devices. Thus, it is still a challenge to manage the resources of the edge devices under the premise of reducing the energy and time cost in the system while avoiding the situation of overload or underload to maintain the stability of the system. In this article, a 5G-enabled EC-IoV system framework is proposed to enhance the performance of *the existing EC-IoV system. Specific computation offloading in 5G-enabled EC-IoV system is presented under three different cases. Through the above cases, two communication modes are concluded and the corresponding resource allocation strategy is given in this article. The performance of the proposed system is evaluated and compared with the existing system. Finally, future research directions in this area are considered.