Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment

Dang Van Huynh; Van Dinh Nguyen; Vishal Sharma; Octavia A. Dobre; Trung Q. Duong

doi:10.1109/ICC45855.2022.9838860

Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment

Dang Van Huynh, Van Dinh Nguyen, Vishal Sharma, Octavia A. Dobre, Trung Q. Duong

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

38 Citations (Scopus)

409 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Communications, ICC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5651-5656
Number of pages	6
ISBN (Electronic)	9781538683477
ISBN (Print)	9781538683484
DOIs	https://doi.org/10.1109/ICC45855.2022.9838860
Publication status	Published - 11 Aug 2022

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607
ISSN (Electronic)	1938-1883

Access to Document

10.1109/ICC45855.2022.9838860Licence: Unspecified

Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment
© 2022 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 587 KBLicence: Unspecified

Ultra-reliable and near zero-latency communications for industrial automation
Huynh, D. V. (Author), Duong, Q. (Supervisor) & Mai, T. S. (Supervisor), Dec 2023
Student thesis: Doctoral Thesis › Doctor of Philosophy

File

Cite this

Huynh, D. V., Nguyen, V. D., Sharma, V., Dobre, O. A., & Duong, T. Q. (2022). Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment. In Proceedings of the IEEE International Conference on Communications, ICC 2022 (pp. 5651-5656). (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45855.2022.9838860

Huynh, Dang Van ; Nguyen, Van Dinh ; Sharma, Vishal et al. / Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment. Proceedings of the IEEE International Conference on Communications, ICC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 5651-5656 (IEEE International Conference on Communications).

@inproceedings{964ea899a0cb4f5fbdab2f5134c3e21c,

title = "Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment",

abstract = "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{\textquoteright}s effectiveness in reducing the latency compared with other benchmark schemes.",

author = "Huynh, {Dang Van} and Nguyen, {Van Dinh} and Vishal Sharma and Dobre, {Octavia A.} and Duong, {Trung Q.}",

year = "2022",

month = aug,

day = "11",

doi = "10.1109/ICC45855.2022.9838860",

language = "English",

isbn = "9781538683484",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5651--5656",

booktitle = "Proceedings of the IEEE International Conference on Communications, ICC 2022",

address = "United States",

}

Huynh, DV, Nguyen, VD, Sharma, V, Dobre, OA & Duong, TQ 2022, Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment. in Proceedings of the IEEE International Conference on Communications, ICC 2022. IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., pp. 5651-5656. https://doi.org/10.1109/ICC45855.2022.9838860

Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment. / Huynh, Dang Van; Nguyen, Van Dinh; Sharma, Vishal et al.
Proceedings of the IEEE International Conference on Communications, ICC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 5651-5656 (IEEE International Conference on Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment

AU - Huynh, Dang Van

AU - Nguyen, Van Dinh

AU - Sharma, Vishal

AU - Dobre, Octavia A.

AU - Duong, Trung Q.

PY - 2022/8/11

Y1 - 2022/8/11

N2 - 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.

AB - 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.

U2 - 10.1109/ICC45855.2022.9838860

DO - 10.1109/ICC45855.2022.9838860

M3 - Conference contribution

SN - 9781538683484

T3 - IEEE International Conference on Communications

SP - 5651

EP - 5656

BT - Proceedings of the IEEE International Conference on Communications, ICC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Huynh DV, Nguyen VD, Sharma V, Dobre OA, Duong TQ. Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment. In Proceedings of the IEEE International Conference on Communications, ICC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 5651-5656. (IEEE International Conference on Communications). doi: 10.1109/ICC45855.2022.9838860

Digital twin empowered ultra-reliable and low-latency communications-based edge networks in industrial IoT environment

Abstract

Publication series

Access to Document

Fingerprint

Student theses

Ultra-reliable and near zero-latency communications for industrial automation

Cite this