2026-06-01T10:18:22Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/399982026-02-03T11:50:25Zcom_10630_2254col_10630_37959

Álvarez-Merino, Carlos Simón Luo Chen, Hao Qiang Pinola, Jarno Khatib, Emil Jatib Barco-Moreno, Raquel 2025-09-23T07:08:30Z 2025-09-23T07:08:30Z 2025 https://hdl.handle.net/10630/39998 Energy efficiency has emerged as a cornerstone in the development of b5G/6G networks, particularly within the framework of Open Radio Access Networks (O-RAN). This paper presents a monitoring and prediction system designed to reduce the energy consumption of critical O-RAN components, namely the Central Unit (O-CU) and Distributed Unit (O-DU). The proposed approach leverages the MAPIE algorithm to generate robust energy consumption forecasts with theoretically grounded prediction intervals, allowing for real-time network resource optimization without compromising service quality. Experimental validation was conducted in a disaggregated commercial O-RAN environment, emulating realistic operational conditions, supporting the identification of consumption patterns and enabling proactive network management. The proposed system serves as a foundation for intelligent, energy-aware management strategies in future mobile networks, paving the way for automated decision-making in Service Management and Orchestration (SMO) systems. spa http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Sistemas de comunicación inalámbricos Ahorro de energía Monitorización y Predicción del consumo energético en O-RAN conference output