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We propose a simple analytical model to evaluate the base station (BS) lifetime subject to power state changes (i.e., transmitted power or a sleep mode (SM)). We first consider the effect of setting the power state, and the impact of transitions occurring between the power states. We then build a model to compute the probability distribution of lifetime for a single BS, given the hardware (HW) parameters...
We investigate the problem of managing the lifetime of links in IP backbone networks exploiting a sleep mode (SM) state. In particular, the SM duration tends to increase the lifetime, while the frequency of power state transitions tends to decrease it. After optimally formulating the problem of limiting the impact on the link lifetime when SMs are applied, we propose an online heuristic, called AFA,...
We consider the effect of power state transitions on the lifetime of Base Stations (BSs) in a cellular network. In particular, we take into account the impact of putting in sleep mode the BS, and also the change of the radiated power. When the BS reduces its power consumption, its lifetime tends to increase, as a consequence of the temperature reduction. However, the change in the power state triggers...
This paper focuses on the impact that energyefficient techniques have on the component lifetime in optical backbone networks. The study presented in the paper considers in particular the influence that green routing strategies have on the failure rate of Erbium Doped Fiber Amplifiers (EDFAs), i.e., if their lifetime is positively or negatively impacted when putting them into sleep mode in order to...
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