Heterogeneous multi-layer mobile edge computing for 6G

Pengfei WANG; Boya DI; Lingyang SONG; Zhu HAN

doi:10.11959/j.issn.2096-3750.2020.00147

您当前的位置：

首页 >

文章列表页 >

Heterogeneous multi-layer mobile edge computing for 6G

Topic:IoT and 6G | 更新时间：2024-06-05

- Heterogeneous multi-layer mobile edge computing for 6G
- Chinese Journal on Internet of Things Vol. 4, Issue 1, Pages: 121-130(2020)
- 作者机构：
  
  1. 北京大学信息与通信研究所，北京 100871
  2. 北京大学大数据研究所，北京 100871
  3. 休斯顿大学电子与计算机工程部，德克萨斯休斯顿 77004
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2020.00147
  CLC： TP391
- Published：30 March 2020，
  
  Published Online：2020-03，
- 稿件说明：
移动端阅览
PENGFEI WANG, BOYA DI, LINGYANG SONG, et al. Heterogeneous multi-layer mobile edge computing for 6G. [J]. Chinese journal on internet of things, 2020, 4(1): 121-130.
DOI：

PENGFEI WANG, BOYA DI, LINGYANG SONG, et al. Heterogeneous multi-layer mobile edge computing for 6G. [J]. Chinese journal on internet of things, 2020, 4(1): 121-130. DOI： 10.11959/j.issn.2096-3750.2020.00147.

摘要

随着物联网的发展，在未来6G通信中，将会产生众多实时性应用场景。在低时延的数据处理需求的驱动下，移动边缘计算将成为提升用户体验和降低网络成本的重要技术。然而，单一的边缘服务器计算能力有限，很难满足计算密集型应用的低时延数据处理需求。设计了一种异构的多层边缘计算（HetMEC

heterogeneous multi-layer mobile edge computing）网络架构，综合利用云计算中心和多层边缘服务器的计算和传输资源，通过合理分割卸载计算任务，共同为边缘应用提供可靠、高效的计算服务。实验证明，HetMEC网络架构可以有效降低处理时延，提升网络处理速率和稳健性。

Abstract

With the development of the Internet of things

multiple real-time applications will emerge in future 6G communication network.Driven by demands on low-latency services of multiple real-time applications

mobile edge computing (MEC) will become an important technology to improve the user experience and reduce the network cost.However

the computing capacity of a single MEC server is limited

which induces that it is difficult to meet the low-latency requirement of data processing for the computation-intensive applications.A heterogeneous multi-layer mobile edge computing (HetMEC) network architecture was proposed to jointly utilize the computing and transmission resources of both the cloud computing center and multi-layer MEC servers.By reasonably dividing and offloading computing tasks

reliable and efficient computing services were provided for edge applications.Simulation results show that the proposed algorithm could effectively reduce the processing latency

improve the network processing rate and robustness.

关键词

物联网异构网络移动边缘计算任务卸载资源分配

Keywords

Internet of thingsheterogeneous networkmobile edge computingtask assignmentresource allocation

references

ATZORI L, IERA A, MORABITO G . The Internet of things:a survey[J]. Computer Networks, 2010,54(15): 2787-2805.

PAPAGEORGIOU A, CHENG B, KOVACS E . Real-time data reduction at the network edge of Internet-of-things systems[C]// The 11th International Conference on Network and Service Management (CNSM). IEEE, 2015: 284-291.

ARMBRUST M, FOX A, GRIFFITH R ,et al. A view of cloud computing[J]. Communications of the ACM, 2010,53(4): 50-58.

ETSI. Mobile edge computing:a key technology towards 5G[S]. 2015.

MAO Y, YOU C, ZHANG J ,et al. A survey on mobile edge computing:the communication perspective[J]. IEEE Communications Surveys and Tutorials, 2017,19(4): 2322-2358.

TANENBAUM A S, WETHERALL D . Computer networks[M]. Englewood: Prentice HallPress, 1996.

STEELEJ M . The Cauchy-Schwarz master class:an introduction to the art of mathematical inequalities[M]. Cambridge: Cambridge University PressPress, 2004.

WANG C, YU F R, LIANG C ,et al. Joint computation offloading and interference management in wireless cellular networks with mobile edge computing[J]. IEEE Transactions on Vehicular Technology, 2017,66(8): 7432-7445.

Views

871

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A sensing and control closed-loop scheduling strategy for UAV swarms

Partial computation offloading method based on joint resource allocation for mobile edge computing

Resource allocation based on optimal transport theory in IoT edge computing

Design of task dividing and offloading algorithm in mobile edge computing

Hierarchical resource deployment and sharing strategy in mobile edge computing

Related Author

PING Yuqi

DING Huahao

LIANG Tianhao

LIANG Qingquan

WANG Yizhen

ZHANG Tingting

Yao LIU

Yueyuan HE

Related Institution

Guangdong Provincial Key Laboratory of Space-Aerial Networking and Intelligent Sensing, Harbin Institute of Technology

School of Information Science and Technology, Harbin Institute of Technology

School of Digital Media and Humanities, Hunan University of Technology and Business

Changsha Social Laboratory of Artificial Intelligence

School of Computer Science, Hunan University of Technology and Business

⁰