Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications

Abdulrahman Al Ayidh; Bo Chang; Guodong Zhao; Rami Ghannam; Muhammad Ali Imran

doi:10.1109/PIMRC48278.2020.9217133

Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications

Abdulrahman Al Ayidh
, Bo Chang
, Guodong Zhao
, Rami Ghannam
, Muhammad Ali Imran

King Khalid University
University of Glasgow
University of Electronic Science and Technology of China

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

7 Scopus citations

Abstract

The coming fifth-generation (5G) cellular networks encourage to support several innovations and services, some of which will demand Ultra-reliable and Low-latency Communications (URLLC). For instance, URLLC can support real-time control to facilitate several emerging applications, such as robotic arms in industrial applications, and remote surgery for healthcare applications. However, URLLC is expected to be supported without considering the resources usage efficiency in wireless control systems due to the challenging to satisfy Quality of Service (QoS) requirements at the expense of diminishing energy efficiency. In this paper, we analyze uplink energy efficiency in URLLC utilizing multiple antennas in the transmitter and the receiver as well (MIMO) in real-time wireless control systems. We firstly formulate an optimization problem to maximize energy efficiency concerning the effect of the control convergence rate constraint. Then, we develop an exhaustive search method to obtain the maximum energy efficiency. Finally, simulation results are provided to demonstrate the performance of our proposed method.

Original language	English
Title of host publication	2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728144900
DOIs	https://doi.org/10.1109/PIMRC48278.2020.9217133
State	Published - Aug 2020
Externally published	Yes
Event	31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020 - Virtual, London, United Kingdom Duration: 31 Aug 2020 → 3 Sep 2020

Publication series

Name	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume	2020-August

Conference

Conference	31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020
Country/Territory	United Kingdom
City	Virtual, London
Period	31/08/20 → 3/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

Keywords

Energy Efficiency
Joint design
MU-MIMO
Real-time wireless control
URLLC
Uplink

Access to Document

10.1109/PIMRC48278.2020.9217133

Cite this

Ayidh, A. A., Chang, B., Zhao, G., Ghannam, R., & Imran, M. A. (2020). Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020 Article 9217133 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC; Vol. 2020-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC48278.2020.9217133

Ayidh, Abdulrahman Al ; Chang, Bo ; Zhao, Guodong et al. / Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications. 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC).

@inproceedings{a3f29238939f46e69ac0db2384418912,

title = "Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications",

abstract = "The coming fifth-generation (5G) cellular networks encourage to support several innovations and services, some of which will demand Ultra-reliable and Low-latency Communications (URLLC). For instance, URLLC can support real-time control to facilitate several emerging applications, such as robotic arms in industrial applications, and remote surgery for healthcare applications. However, URLLC is expected to be supported without considering the resources usage efficiency in wireless control systems due to the challenging to satisfy Quality of Service (QoS) requirements at the expense of diminishing energy efficiency. In this paper, we analyze uplink energy efficiency in URLLC utilizing multiple antennas in the transmitter and the receiver as well (MIMO) in real-time wireless control systems. We firstly formulate an optimization problem to maximize energy efficiency concerning the effect of the control convergence rate constraint. Then, we develop an exhaustive search method to obtain the maximum energy efficiency. Finally, simulation results are provided to demonstrate the performance of our proposed method.",

keywords = "Energy Efficiency, Joint design, MU-MIMO, Real-time wireless control, URLLC, Uplink",

author = "Ayidh, \{Abdulrahman Al\} and Bo Chang and Guodong Zhao and Rami Ghannam and Imran, \{Muhammad Ali\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020 ; Conference date: 31-08-2020 Through 03-09-2020",

year = "2020",

month = aug,

doi = "10.1109/PIMRC48278.2020.9217133",

language = "English",

series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",

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

booktitle = "2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020",

address = "United States",

}

Ayidh, AA, Chang, B, Zhao, G, Ghannam, R & Imran, MA 2020, Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications. in 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020., 9217133, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, vol. 2020-August, Institute of Electrical and Electronics Engineers Inc., 31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020, Virtual, London, United Kingdom, 31/08/20. https://doi.org/10.1109/PIMRC48278.2020.9217133

Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications. / Ayidh, Abdulrahman Al; Chang, Bo; Zhao, Guodong et al.
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9217133 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC; Vol. 2020-August).

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

TY - GEN

T1 - Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications

AU - Ayidh, Abdulrahman Al

AU - Chang, Bo

AU - Zhao, Guodong

AU - Ghannam, Rami

AU - Imran, Muhammad Ali

PY - 2020/8

Y1 - 2020/8

N2 - The coming fifth-generation (5G) cellular networks encourage to support several innovations and services, some of which will demand Ultra-reliable and Low-latency Communications (URLLC). For instance, URLLC can support real-time control to facilitate several emerging applications, such as robotic arms in industrial applications, and remote surgery for healthcare applications. However, URLLC is expected to be supported without considering the resources usage efficiency in wireless control systems due to the challenging to satisfy Quality of Service (QoS) requirements at the expense of diminishing energy efficiency. In this paper, we analyze uplink energy efficiency in URLLC utilizing multiple antennas in the transmitter and the receiver as well (MIMO) in real-time wireless control systems. We firstly formulate an optimization problem to maximize energy efficiency concerning the effect of the control convergence rate constraint. Then, we develop an exhaustive search method to obtain the maximum energy efficiency. Finally, simulation results are provided to demonstrate the performance of our proposed method.

AB - The coming fifth-generation (5G) cellular networks encourage to support several innovations and services, some of which will demand Ultra-reliable and Low-latency Communications (URLLC). For instance, URLLC can support real-time control to facilitate several emerging applications, such as robotic arms in industrial applications, and remote surgery for healthcare applications. However, URLLC is expected to be supported without considering the resources usage efficiency in wireless control systems due to the challenging to satisfy Quality of Service (QoS) requirements at the expense of diminishing energy efficiency. In this paper, we analyze uplink energy efficiency in URLLC utilizing multiple antennas in the transmitter and the receiver as well (MIMO) in real-time wireless control systems. We firstly formulate an optimization problem to maximize energy efficiency concerning the effect of the control convergence rate constraint. Then, we develop an exhaustive search method to obtain the maximum energy efficiency. Finally, simulation results are provided to demonstrate the performance of our proposed method.

KW - Energy Efficiency

KW - Joint design

KW - MU-MIMO

KW - Real-time wireless control

KW - URLLC

KW - Uplink

UR - https://www.scopus.com/pages/publications/85094099360

U2 - 10.1109/PIMRC48278.2020.9217133

DO - 10.1109/PIMRC48278.2020.9217133

M3 - Conference contribution

AN - SCOPUS:85094099360

T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

BT - 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020

Y2 - 31 August 2020 through 3 September 2020

ER -

Ayidh AA, Chang B, Zhao G, Ghannam R, Imran MA. Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9217133. (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). doi: 10.1109/PIMRC48278.2020.9217133

Energy-efficient power allocation in URLLC enabled wireless control for factory automation applications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this