Fatigue-aware management of cellular networks infrastructure with sleep modes
We consider the problem of controlling the rate of failures triggered by fatigue processes of Base Stations (BSs) in cellular networks subject to Sleep Modes (SMs). Specifically, the increase of time spent in SM tends to decrease the BS failure rate by following, e.g., the Arrhenius law. However, the transitions between the power states tend to increase the BS failure rate, which can be predicted by the Coffin- Manson model. In this context, the energy savings triggered by SMs would not be economically useful if the BS failure rate were increased too much.