Author ORCID Identifier
https://orcid.org/0000-0003-4969-0674, https://orcid.org/0000-0002-4104-7513, https://orcid.org/0000-0002-8358-2258
Document Type
Conference Paper
Disciplines
Electrical and electronic engineering, telecommunications, Computer hardware and architecture
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 chal- lenge 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.
Recommended Citation
Urumkar, Saish; Ramamurthy, Byrav; and Sharma, Sachin, "Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling" (2023). Conference papers. 388.
https://arrow.tudublin.ie/engscheleart/388
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Electrical and Electronics Commons, Signal Processing Commons, Systems and Communications Commons
Publication Details
IEEE ANTS 2023
MNIT Jaipur