Augusta Castelli
On the impact of recent 5G/6G BS Power Models on energy efficiency studies.
Rel. Michela Meo, Loutfi Nuaymi. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2026
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Abstract
Energy efficiency is a first-order objective for current Fifth Generation (5G) and emerging Sixth Generation (6G) radio access networks, where base stations dominate operational consumption and remain far from energy-proportional under time-varying load. In this context, the base-station power-consumption model is a first-order assumption: different formulations can yield materially different energy-saving estimates and, consequently, different energy-performance trade-offs. This thesis quantifies such model-driven effects through a controlled comparison between the standardized 3GPP TR~38.864 state-based model and an analytical Active Antenna Unit (AAU) formulation grounded in hardware-driven component scaling. A unified evaluation pipeline is designed and developed to ensure comparability: scenario, traffic, control knobs, and KPI definitions/normalization are kept fixed while only the power model is swapped.
The assessment combines: (i) static one-at-a-time sweeps over antenna activity, utilized bandwidth, and transmit-power scaling to build energy-delay trade-off curves; (ii) a discrete-time, traffic-driven simulator with FIFO queueing and multi-level sleep (MICRO/LIGHT/DEEP) to capture activity factors, wake-up constraints, and sleep opportunities; and (iii) a preliminary multi-small-cell learning-based extension with tabular Q-learning to illustrate how model choice propagates into the control loop through model-dependent energy feedback
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