Author ORCID Identifier

0000-0003-4969-0674

Document Type

Conference Paper

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE, 2.2 ELECTRICAL, ELECTRONIC, INFORMATION ENGINEERING

Publication Details

  • Conference: 2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

DOI:10.1109/ANTS66931.2025.11429771

Abstract

Open RAN is a next-generation wireless network technology that promotes flexibility, cost efficiency, and interoperability through disaggregation and open interfaces. Energy efficiency remains a key challenge, especially in scalable deployments with many connected User Equipments (UEs), where dynamic power management at the gNodeB is critical. In this paper PAC-ORAN (Power-saving Adaptive CPU Scheduling for Open RAN) is proposed which is an advanced CPU scheduling algorithm evaluated with a large number of connected UEs to gNodeb. PAC-ORAN includes an advanced method using moving average adaptive threshold selection and dynamically adjusting CPU core states and frequency tuning based on real-time CPU metrics. The evaluation of PAC-ORAN focuses on two key objectives: (1) Sustainability Goals: PAC-ORAN reduces CPU power consumption by 5% to 30%, lowers RAM power usage by 2% to 20%, and brings down CPU temperature by 2 to 3 degree Celsius. (2) Performance Goals: PAC-ORAN maintains bounded throughput even during power-saving operations and balances CPU frequency usage. The key contribution of this paper lies in the proposed PAC-ORAN algorithm tested on large number of connected UEs along with key findings from the PAC-ORAN algorithms impact on CPU and RAM power utilization as well as its impact on CPU temperature and frequency usage.

DOI

https://doi.org/10.1109/ANTS66931.2025.11429771

Creative Commons License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

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