Digital Twin Empowered Ultra-Reliable and Low-Latency Communications-based Edge Networks in Industrial IoT Environment

被引：27

作者：

Huynh, Dang Van ^{[1
]}

Nguyen, Van -Dinh ^{[2
]}

Sharma, Vishal ^{[1
]}

Dobret, Octavia A. ^{[3
]}

Duong, Trung Q. ^{[1
]}

机构：

[1] Queens Univ Belfast, Belfast, North Ireland

[2] Univ Luxembourg, Luxembourg, Luxembourg

[3] Mem Univ Newfoundland, St John, NF, Canada

来源：

IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022) | 2022年

关键词：

RESOURCE-ALLOCATION; SYSTEMS;

D O I：

10.1109/ICC45855.2022.9838860

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We address the problem of minimising latency with computation offloading in digital twin wireless edge networks in industrial Internet-of-Things environment via ultra-reliable and low latency communications links. The minimised latency is obtained by jointly optimising both communication and computation variables, namely transmit power, user association of IoT devices, offloading portions, the processing rate of users and edge servers. To deal with this challenging problem, we propose an iterative algorithm based on alternating optimisation approach combined with inner convex approximation framework. Simulation results demonstrate the proposed algorithm's effectiveness in reducing the latency compared with other benchmark schemes.

引用

页码：5651 / 5656

页数：6

共 18 条

[1] A sequential parametric convex approximation method with applications to nonconvex truss topology design problems [J].