Applicability of different models of burstiness to energy consumption estimation

Ullah, Kazi Wali; Nurminen, Jukka K.

doi:10.1109/csndsp.2012.6292720

Cited by 3 publications

(2 citation statements)

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“…In [5], some models are proposed for the activity of a single terminal and the resulting energy consumption. In [6], [7], the choice of the cluster heads in Ad-Hoc networks integrates energy consumption consideration and take into account the geometry of the terminals by considering the proximity graph.…”

Section: Introductionmentioning

confidence: 99%

Modeling energy consumption in cellular networks

Decreusefond

Martins

2013

Proceedings of the 2013 25th International Teletraffic Congress (ITC)

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Abstract-In this paper we present a new analysis of energy consumption in cellular networks. We focus on the distribution of energy consumed by a base station for one isolated cell. We first define the energy consumption model in which the consumed energy is divided into two parts: The additive part and the broadcast part. The broadcast part is the part of energy which is oblivious of the number of mobile stations but depends on the farthest terminal, for instance, the energy effort necessary to maintain the beacon signal. The additive part is due to the communication power which depends on both the positions, mobility and activity of all the users. We evaluate by closed form expressions the mean and variance of the consumed energy. Our analytic evaluation is based on the hypothesis that mobiles are distributed according to a Poisson point process. We show that the two parts of energy are of the same order of magnitude and that substantial gain can be obtained by power control. We then consider the impact of mobility on the energy consumption. We apply our model to two case studies: The first one is to optimize the cell radius from the energetic point of view, the second one is to dimension the battery of a base station in sites that do not have access to permanent power supply.

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Section: Introductionmentioning

confidence: 99%

Modeling energy consumption in cellular networks

Decreusefond

Martins

2013

Proceedings of the 2013 25th International Teletraffic Congress (ITC)

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“…Several measurement based analysis pointed out the different aspects in energy consumption (see [1], [2], [3], [4] and references therein). In [5], some models are proposed for the activity of a single terminal and the resulting energy consumption. In [6], [7], the choice of the cluster heads in Ad-Hoc networks integrates energy consumption consideration and take into account the geometry of the terminals by considering the proximity graph.…”

Section: Introductionmentioning

confidence: 99%

Modeling energy consumption in cellular networks

Decreusefond,

Vu,

Martins

2012

Preprint

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In this paper we present a new analysis of energy consumption in cellular networks. We focus on the distribution of energy consumed by a base station for one isolated cell. We first define the energy consumption model in which the consumed energy is divided into two parts: The additive part and the broadcast part. The broadcast part is the part of energy which is oblivious of the number of mobile stations but depends on the farthest terminal, for instance, the energy effort necessary to maintain the beacon signal. The additive part is due to the communication power which depends on both the positions, mobility and activity of all the users. We evaluate by closed form expressions the mean and variance of the consumed energy. Our analytic evaluation is based on the hypothesis that mobiles are distributed according to a Poisson point process. We show that the two parts of energy are of the same order of magnitude and that substantial gain can be obtained by power control. We then consider the impact of mobility on the energy consumption. We apply our model to two case studies: The first one is to optimize the cell radius from the energetic point of view, the second one is to dimension the battery of a base station in sites that do not have access to permanent power supply.

show abstract