TY - GEN
T1 - Analytical Power Efficiency Models for Open Radio Access Network (O-RAN)
AU - Kuaban, Godlove Suila
AU - Czachorski, Tadeusz
AU - Atmaca, Tulin
AU - Czekalski, Piotr
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The rapid deployment of 5 G and the anticipated evolution to 6 G have intensified the need for energy-efficient radio access networks, driven by rapidly growing power demands, rising energy costs, and environmental concerns. Open Radio Access Networks (O-RAN) offer a flexible and scalable architecture; however, their disaggregated nature requires accurate power modelling to optimise energy consumption. This paper proposes enhanced power consumption models for O-RAN that account for power efficiency gains from resource sharing across multiple radio units (O-RUs) and the offloading of highly parallel baseband processing tasks to specialised energy-efficient hardware accelerators such as ASICs, FPGAs, or GPUs. The models are used to analyse the scaling behavior of O-RUs, distributed units (O-DUs), and centralized units (O-CUs) under varying deployment scenarios. Results show that O-RUs dominate the total network power budget, while O-DUs benefit from sublinear growth due to statistical multiplexing, and O-CUs scale the slowest owing to centralised control-plane sharing. Furthermore, the study identifies optimal ranges of RU-to-DU aggregation and accelerator utilization for maximising energy efficiency in largescale 5 G/6 G O-RAN deployments.
AB - The rapid deployment of 5 G and the anticipated evolution to 6 G have intensified the need for energy-efficient radio access networks, driven by rapidly growing power demands, rising energy costs, and environmental concerns. Open Radio Access Networks (O-RAN) offer a flexible and scalable architecture; however, their disaggregated nature requires accurate power modelling to optimise energy consumption. This paper proposes enhanced power consumption models for O-RAN that account for power efficiency gains from resource sharing across multiple radio units (O-RUs) and the offloading of highly parallel baseband processing tasks to specialised energy-efficient hardware accelerators such as ASICs, FPGAs, or GPUs. The models are used to analyse the scaling behavior of O-RUs, distributed units (O-DUs), and centralized units (O-CUs) under varying deployment scenarios. Results show that O-RUs dominate the total network power budget, while O-DUs benefit from sublinear growth due to statistical multiplexing, and O-CUs scale the slowest owing to centralised control-plane sharing. Furthermore, the study identifies optimal ranges of RU-to-DU aggregation and accelerator utilization for maximising energy efficiency in largescale 5 G/6 G O-RAN deployments.
KW - 5G / 6G mobile networks
KW - Analytical models
KW - O-RAN architectures
KW - Open Radio Access Network (O-RAN)
KW - power consumption models
KW - Power Efficiency
UR - https://www.scopus.com/pages/publications/105031705809
U2 - 10.1109/MASCOTS67699.2025.11283410
DO - 10.1109/MASCOTS67699.2025.11283410
M3 - Conference contribution
AN - SCOPUS:105031705809
T3 - Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
BT - Proceedings - 2025 IEEE 33rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2025
PB - IEEE Computer Society
T2 - 33rd IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2025
Y2 - 21 October 2025 through 23 October 2025
ER -