To improve the energy eficiency of 5G networks, it is imperative to develop sophisticated models that accurately reflect the influence of base station (BS) attributes and operational conditions on energy usage.
Abstract—The introduction of fifth-generation (5G) radio tech-nology has revolutionized communications, bringing unprece-dented automation, capacity, connectivity, and ultra-fast, reliable communications. However, this technological leap comes with (BSs), which account for over 70% of the network’s energy usage .
Base Station features: These include hardware attributes and configuration details of the BS, which are key in predicting energy consumption. Features in this category are the number of antennas (Antennas), the transmis-sion mode (Mode), the BSID, and the type of radio unit (RUType).
II. 5G RADIO UNIT DATASET In this section, we introduce the 5G Radio Unit Dataset. The dataset used in our study comprised 102,705 hourly measurements collected over a period of 8 days. Each sample encapsulates a variety of features, classified into four main categories:
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