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Software tools for power consumption monitoring of open 5G and beyond research: A review

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dc.contributor.author Ebrahim, Rozeena
dc.contributor.author Luvhengo, Fhatuwani
dc.contributor.author Vilakazi, Mlamuli
dc.contributor.author Mamushiane, Lusani
dc.contributor.author Lysko, Albert A
dc.date.accessioned 2023-12-12T11:16:15Z
dc.date.available 2023-12-12T11:16:15Z
dc.date.issued 2023-09
dc.identifier.citation Ebrahim, R., Luvhengo, F., Vilakazi, M., Mamushiane, L. & Lysko, A.A. 2023. Software tools for power consumption monitoring of open 5G and beyond research: A review. http://hdl.handle.net/10204/13402 . en_ZA
dc.identifier.uri Power consumption
dc.identifier.uri http://hdl.handle.net/10204/13402
dc.description.abstract This paper investigates four software tools with CPU power consumption estimation capabilities and identifies the most suitable tool for open fifth-generation (5G) and beyond research. The tools considered are Open Hardware Monitor (OHM), Perf, Turbostat, and Powerstat. In this paper, we also show a comparison between hardware- and software-based power consumption monitoring on both Windows and Linux. The work considers experimentally probing the power consumption of a 5G base station component, which has been implemented on an open Radio Access Network (RAN) server computing platform. We found the Turbostat software tool to be the most suitable for our use case. Furthermore, with this tool, we demonstrate software power consumption monitoring of the RAN server, which showed a good correlation with hardware-based power consumption measurements. We also demonstrate the need to calibrate/offset the results to account for power consumption due to other components of a server. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/10293355 en_US
dc.source IEEE Africon, Nairobi, Kenya, 20 - 22 September 2023 en_US
dc.subject Software tools en_US
dc.subject Power measurement en_US
dc.subject Energy efficiency en_US
dc.subject Base station en_US
dc.subject Radio access network en_US
dc.subject 5G en_US
dc.subject Power consumption en_US
dc.title Software tools for power consumption monitoring of open 5G and beyond research: A review en_US
dc.type Conference Presentation en_US
dc.description.pages 6 en_US
dc.description.note ©2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10293355 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea Spectrum Access Management Innovation en_US
dc.description.impactarea Cloud & Network Architectures en_US
dc.identifier.apacitation Ebrahim, R., Luvhengo, F., Vilakazi, M., Mamushiane, L., & Lysko, A. A. (2023). Software tools for power consumption monitoring of open 5G and beyond research: A review. http://hdl.handle.net/10204/13402 en_ZA
dc.identifier.chicagocitation Ebrahim, Rozeena, Fhatuwani Luvhengo, Mlamuli Vilakazi, Lusani Mamushiane, and Albert A Lysko. "Software tools for power consumption monitoring of open 5G and beyond research: A review." <i>IEEE Africon, Nairobi, Kenya, 20 - 22 September 2023</i> (2023): http://hdl.handle.net/10204/13402 en_ZA
dc.identifier.vancouvercitation Ebrahim R, Luvhengo F, Vilakazi M, Mamushiane L, Lysko AA, Software tools for power consumption monitoring of open 5G and beyond research: A review; 2023. http://hdl.handle.net/10204/13402 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ebrahim, Rozeena AU - Luvhengo, Fhatuwani AU - Vilakazi, Mlamuli AU - Mamushiane, Lusani AU - Lysko, Albert A AB - This paper investigates four software tools with CPU power consumption estimation capabilities and identifies the most suitable tool for open fifth-generation (5G) and beyond research. The tools considered are Open Hardware Monitor (OHM), Perf, Turbostat, and Powerstat. In this paper, we also show a comparison between hardware- and software-based power consumption monitoring on both Windows and Linux. The work considers experimentally probing the power consumption of a 5G base station component, which has been implemented on an open Radio Access Network (RAN) server computing platform. We found the Turbostat software tool to be the most suitable for our use case. Furthermore, with this tool, we demonstrate software power consumption monitoring of the RAN server, which showed a good correlation with hardware-based power consumption measurements. We also demonstrate the need to calibrate/offset the results to account for power consumption due to other components of a server. DA - 2023-09 DB - ResearchSpace DP - CSIR J1 - IEEE Africon, Nairobi, Kenya, 20 - 22 September 2023 KW - Software tools KW - Power measurement KW - Energy efficiency KW - Base station KW - Radio access network KW - 5G KW - Power consumption LK - https://researchspace.csir.co.za PY - 2023 T1 - Software tools for power consumption monitoring of open 5G and beyond research: A review TI - Software tools for power consumption monitoring of open 5G and beyond research: A review UR - http://hdl.handle.net/10204/13402 ER - en_ZA
dc.identifier.worklist 27275 en_US


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