Energy consumption analysis of wireless networks using stochastic deployment models

Abstract

This paper aims to discuss the influence of adjustable base station (BS) power parameters, such as power consumed during active mode and sleep modes, on the overall energy consumption of a network and highlight potential energy savings that can be achieved by the introduction of sleep modes. A BS density that can satisfy the demands of a given user density - defined by a daily traffic profile - can be found using the relationship between spatially averaged rate, user density, and BS density established here. The underlying framework for this relationship assumes users and BSs to be independently marked point processes in ℝ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . A power model that is an affine function of the BS density is used to determine the overall energy consumption of the network at full load, and these values are compared to those that incorporate sleep modes to utilize the minimum number of BSs that satiate the demands of a user density that varies during the course of the day. The relationship established between spatially averaged rate, user density, and BS density forms the main result of this paper, based on which it can be inferred that the introduction of sleep modes results in substantial energy savings when the load is seldom full.