@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",
}
