Abstract
We study the impact of power state transitions on the lifetime of base stations (BSs) in mobile networks. In particular, we propose a model to estimate the lifetime decrease/increase as a consequence of the application of power state changes. The model takes into account both hardware (HW) parameters, which depend on the materials used to build the device, and power state parameters, that instead depend on how and when power state transitions take place. More in depth, we consider the impact of different power states when a BS is active, and one sleep mode state when a BS is powered off. When a BS reduces the power consumption, its lifetime tends to increase. However, when a BS changes the power state, its lifetime tends to be decreased. Thus, there is a tradeoff between these two effects. Our results, obtained over universal mobile telecommunication system (UMTS) and long term evolution (LTE) case studies, indicate the need of a careful management of the power state transitions in order to not deteriorate the BS lifetime, and consequently to not increase the associated reparation/replacement costs.
Highlights
Cellular networks are intensely deployed in the whole world, with different technologies adopted, ranging from legacy 2G networks, to 3G and 4G ones
We have presented a model to evaluate the lifetime of a base stations (BSs) taking into account the different power states and the transitions between one state and another one
We have evaluated the lifetime increase/decrease compared to a reference lifetime by means of the acceleration factor (AF), a metric that is inversely proportional to the lifetime
Summary
Cellular networks are intensely deployed in the whole world, with different technologies adopted, ranging from legacy 2G networks, to 3G and 4G ones. The goal is to guarantee capacity to the users associated with a BS, and to reduce the overall interference with the neighboring BSs (see e.g., the survey [2]). In this context, resource allocation and interference mitigation are investigated in [3,4,5]. The total power consumption of a BS is influenced by the radiated transmit power [7] These facts, coupled with the high number of deployed BSs in an operator network, have stimulated researches towards the reduction of power consumption in cellular networks. The efficacy and efficiency of BS SM has been extensively studied by previous work (see for example the survey [8])
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