Power Saving in Open RAN by Using Advanced CPU Scheduling Algorithm

Saish Urumkar, Sachin Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Open RAN is an emerging wireless technology that is gaining significant attention for its potential to enable flexible, cost-efficient, and interoperable networks. Reducing power utilization in Open RAN, particularly for 5G base stations (gNodeBs) deployed in remote areas, remains a critical challenge due to limited power availability. In our previous work, we developed a CPU scheduling algorithm that optimized core allocation based on load conditions, reducing power utilization for gNodeB in a virtualized Open RAN environment. Extending our previous work, this paper introduces an advanced CPU scheduling for Open RAN designed to reduce power utilization in real hardware Open RAN gNodeBs. The proposed algorithm for Open RAN is able to lower CPU power consumption by 10 to 11% maintaining bounded throughput, contributing to more energy-efficient Open RAN deployment.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE International Conference on Smart Computing, SMARTCOMP 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages228-230
Number of pages3
ISBN (Electronic)9798331586461
DOIs
Publication statusPublished - 2025
Event11th IEEE International Conference on Smart Computing, SMARTCOMP 2025 - Cork, Ireland
Duration: 16 Jun 202519 Jun 2025

Publication series

NameProceedings - 2025 IEEE International Conference on Smart Computing, SMARTCOMP 2025

Conference

Conference11th IEEE International Conference on Smart Computing, SMARTCOMP 2025
Country/TerritoryIreland
CityCork
Period16/06/2519/06/25

Keywords

  • Open RAN
  • Power Utilization
  • Testbed

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