Energy-Efficient Optimization in O-RAN for Intelligent IoT Systems

Maheshwari, MK ORCID: 0000-0002-2843-9758, Raschella, A ORCID: 0000-0002-1626-8947, Mackay, M ORCID: 0000-0001-9013-7884, Mohammed, AS and Salih, A (2025) Energy-Efficient Optimization in O-RAN for Intelligent IoT Systems. In: 2025 Sixteenth International Conference on Ubiquitous and Future Networks (ICUFN) . pp. 44-49. (The 16th International Conference on Ubiquitous and Future Networks (ICUFN 2025), 8th Jul - 11th Jul 2025, Lisbon, Portugal).

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Abstract

This paper analyzes two crucial aspects towards the development of upcoming massive cellular Internet of Things (IoT) connections: Open Radio Access Network (ORAN) and Energy Efficiency (EE). O-RAN offers flexibility, interoperability, multi-connectivity and an intelligent architecture. On the other hand, 80% of the energy in mobile networks is consumed in the RAN. Therefore, in this paper we present a method to optimize the O-RAN energy efficiency. Specifically, we model the O-RAN energy consumption as an optimization problem and propose a traffic steering method for maximizing energy efficiency. The performance of the proposed method is analyzed by considering realistic parameters and device locations based on the deployments defined in the Liverpool 5G High Density Deployment (HDD) project. The proposed Algorithm 2 achieves 34.69% higher energy efficiency as compared to Algorithm 1.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	M. K. Maheshwari, A. Raschellà, M. Mackay, A. S. Mohammed and A. Salih, "Energy-Efficient Optimization in O-RAN for Intelligent IoT Systems," 2025 Sixteenth International Conference on Ubiquitous and Future Networks (ICUFN), Lisbon, Portugal, 2025, pp. 44-49, doi: 10.1109/ICUFN65838.2025.11169866. Copyright © 2025 IEEE Reuse is restricted to non-commercial and no derivative uses
Uncontrolled Keywords:	O-RAN; Energy Efficiency; xApp; RIC
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science and Mathematics
Publisher:	IEEE
Date of acceptance:	30 May 2025
Date of first compliant Open Access:	8 July 2025
Date Deposited:	24 Jun 2025 13:24
Last Modified:	14 Oct 2025 13:43
DOI or ID number:	10.1109/ICUFN65838.2025.11169866
URI:	https://researchonline.ljmu.ac.uk/id/eprint/26639

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