Ricerc@Sapienza

We are living an era in which each of us is immersed in a fully connected environment. The smart devices worn everyday by everyone let the users be projected into the so called IoT world, whose main aim is to provide tools and strategies to solve problems of everyday life as well as to improve well-being and quality of life. Such a goal can be achieved in several ways, but consumer specific services should be provided according to their daily habits, as well as temporary needs.

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.