Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling

Saish Urumkar; Byrav Ramamurthy; Sachin Sharma

doi:10.1109/ANTS59832.2023.10469315

Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling

Saish Urumkar
, Byrav Ramamurthy
, Sachin Sharma

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

Abstract

Open RAN is a promising cellular technology that is currently undergoing extensive research for future wireless radio access networks. Achieving optimal energy efficiency in Open RAN poses a significant challenge. This paper introduces a CPU scheduling algorithm that specifically targets this challenge by optimizing energy consumption at the base station while maintaining optimal performance levels. With the goal of minimizing energy consumption, the proposed algorithm dynamically adjusts the CPU core states, seamlessly switching between active and sleep modes based on the load conditions. To evaluate the algorithm's effectiveness in terms of energy saving and performance, experimental testing is conducted using the POWDER test-bed located in the United States. The results of the experiments show a reduction of around 5% to 22% in energy consumption in Open RAN through the implementation of the CPU scheduling algorithm.

Original language	English
Title of host publication	2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350307672
DOIs	https://doi.org/10.1109/ANTS59832.2023.10469315
Publication status	Published - 2023
Event	17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023 - Jaipur, India Duration: 17 Dec 2023 → 20 Dec 2023

Publication series

Name	International Symposium on Advanced Networks and Telecommunication Systems, ANTS
ISSN (Print)	2153-1684

Conference

Conference	17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023
Country/Territory	India
City	Jaipur
Period	17/12/23 → 20/12/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

CPU Scheduling
Energy Efficiency
Open RAN

Access to Document

10.1109/ANTS59832.2023.10469315

Cite this

Urumkar, S., Ramamurthy, B., & Sharma, S. (2023). Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling. In 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023 (International Symposium on Advanced Networks and Telecommunication Systems, ANTS). IEEE Computer Society. https://doi.org/10.1109/ANTS59832.2023.10469315

@inproceedings{44d984ff57ed4819a525b1d5bfe19ae3,

title = "Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling",

abstract = "Open RAN is a promising cellular technology that is currently undergoing extensive research for future wireless radio access networks. Achieving optimal energy efficiency in Open RAN poses a significant challenge. This paper introduces a CPU scheduling algorithm that specifically targets this challenge by optimizing energy consumption at the base station while maintaining optimal performance levels. With the goal of minimizing energy consumption, the proposed algorithm dynamically adjusts the CPU core states, seamlessly switching between active and sleep modes based on the load conditions. To evaluate the algorithm's effectiveness in terms of energy saving and performance, experimental testing is conducted using the POWDER test-bed located in the United States. The results of the experiments show a reduction of around 5\% to 22\% in energy consumption in Open RAN through the implementation of the CPU scheduling algorithm.",

keywords = "CPU Scheduling, Energy Efficiency, Open RAN",

author = "Saish Urumkar and Byrav Ramamurthy and Sachin Sharma",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023 ; Conference date: 17-12-2023 Through 20-12-2023",

year = "2023",

doi = "10.1109/ANTS59832.2023.10469315",

language = "English",

series = "International Symposium on Advanced Networks and Telecommunication Systems, ANTS",

publisher = "IEEE Computer Society",

booktitle = "2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023",

address = "United States",

}

Urumkar, S, Ramamurthy, B & Sharma, S 2023, Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling. in 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023. International Symposium on Advanced Networks and Telecommunication Systems, ANTS, IEEE Computer Society, 17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023, Jaipur, India, 17/12/23. https://doi.org/10.1109/ANTS59832.2023.10469315

Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling. / Urumkar, Saish; Ramamurthy, Byrav; Sharma, Sachin.
2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023. IEEE Computer Society, 2023. (International Symposium on Advanced Networks and Telecommunication Systems, ANTS).

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

TY - GEN

T1 - Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling

AU - Urumkar, Saish

AU - Ramamurthy, Byrav

AU - Sharma, Sachin

PY - 2023

Y1 - 2023

N2 - Open RAN is a promising cellular technology that is currently undergoing extensive research for future wireless radio access networks. Achieving optimal energy efficiency in Open RAN poses a significant challenge. This paper introduces a CPU scheduling algorithm that specifically targets this challenge by optimizing energy consumption at the base station while maintaining optimal performance levels. With the goal of minimizing energy consumption, the proposed algorithm dynamically adjusts the CPU core states, seamlessly switching between active and sleep modes based on the load conditions. To evaluate the algorithm's effectiveness in terms of energy saving and performance, experimental testing is conducted using the POWDER test-bed located in the United States. The results of the experiments show a reduction of around 5% to 22% in energy consumption in Open RAN through the implementation of the CPU scheduling algorithm.

AB - Open RAN is a promising cellular technology that is currently undergoing extensive research for future wireless radio access networks. Achieving optimal energy efficiency in Open RAN poses a significant challenge. This paper introduces a CPU scheduling algorithm that specifically targets this challenge by optimizing energy consumption at the base station while maintaining optimal performance levels. With the goal of minimizing energy consumption, the proposed algorithm dynamically adjusts the CPU core states, seamlessly switching between active and sleep modes based on the load conditions. To evaluate the algorithm's effectiveness in terms of energy saving and performance, experimental testing is conducted using the POWDER test-bed located in the United States. The results of the experiments show a reduction of around 5% to 22% in energy consumption in Open RAN through the implementation of the CPU scheduling algorithm.

KW - CPU Scheduling

KW - Energy Efficiency

KW - Open RAN

UR - https://www.scopus.com/pages/publications/85189617266

U2 - 10.1109/ANTS59832.2023.10469315

DO - 10.1109/ANTS59832.2023.10469315

M3 - Conference contribution

AN - SCOPUS:85189617266

T3 - International Symposium on Advanced Networks and Telecommunication Systems, ANTS

BT - 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023

PB - IEEE Computer Society

T2 - 17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023

Y2 - 17 December 2023 through 20 December 2023

ER -

Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this