On the Impact of Sleep Modes and BW Variation on the Energy Consumption of Radio Access Networks

This paper tries to analyze the energy saving capabilities of two common power saving techniques being suggested ­ introduction of sleep modes and bandwidth (BW) variation. The framework for this analysis assumes users and base stations (BSs) to be independently marked point processes in R2 . The relationship between spatially averaged rate, user density, and base station density, which is an extension of findings in [1], is used in a linear power model to estimate the energy that can be saved by the two methods under consideration. The primary contribution of this paper constitutes an analytic relationship between spatially averaged rate, user density, BS density, transmit power, and the noise power. Another key contribution is a proof that shows that power saved by using sleep modes (or turning off BSs) is always greater than the power saved by varying the BW, for a system implementing a linear power model when traffic densities below full load are considered.