Digital Twin-enabled 6G Aerial Edge Computing with Ultra-Reliable and Low-Latency Communications

被引：18

作者：

Duong, Trung Q. ^{[1
]}

Dang Van Huynh ^{[1
]}

Li, Yijiu ^{[1
]}

Garcia-Palacios, Emi ^{[1
]}

Sun, Kexuan ^{[2
]}

机构：

[1] Queens Univ Belfast, Belfast, Antrim, North Ireland

[2] VIAVI Solut, Stevenage, Herts, England

来源：

2022 1ST INTERNATIONAL CONFERENCE ON 6G NETWORKING (6GNET) | 2022年

关键词：

RESOURCE-ALLOCATION; MANAGEMENT;

D O I：

10.1109/6GNet54646.2022.9830363

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we deal with an end-to-end (e2e) latency minimisation problem of digital twin-aided offloading in edge networks with the support of unmanned aerial vehicle (UAV) employed by multiple antennas under the stringent constraints of ultra-reliable low-latency communications (URLLC) links. The minimised latency is obtained by jointly optimising the transmit power, offloading factors, and the processing rate of Internet of Things (IoT) devices and edge servers (ES). An alternative optimisation approach combined with appropriate inner approximations is effectively exploited to tackle this challenging problem. Numerical results of various simulations are presented to validate the proposed digital twin solution to support IoT applications.

引用

页数：5

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