Analytical Approach to Base Station Sleep Mode Power Consumption and Sleep Depth

Onireti, O., Mohamed, A., Pervaiz, H. and Imran, M. (2018) Analytical Approach to Base Station Sleep Mode Power Consumption and Sleep Depth. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, Quebec, Canada, 8-13 Oct 2017, ISBN 9781538635315 (doi:10.1109/PIMRC.2017.8292518)

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Abstract

In this paper, we present an analytical framework to model the sleep mode power consumption of a base station (BS) as a function of its sleep depth. The sleep depth is made up of the BS deactivation latency, actual sleep period and activation latency. Numerical results demonstrate a close match between our proposed approach and the actual sleep mode power consumption for selected BS types. As an application of our proposed approach, we analyze the optimal sleep depth of a BS, taking into consideration the increased power consumption during BS activation, which exceeds its no-load power consumption. We also consider the power consumed during BS deactivation, which also exceeds the power consumed when the actual sleep level is attained. From the results, we can observe that the average total power consumption of a BS monotonically decreases with the sleep depth as long as the ratio between the actual sleep period and the transition latency (deactivation plus reactivation latency) exceeds a certain threshold.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Onireti, Oluwakayode
Authors: Onireti, O., Mohamed, A., Pervaiz, H., and Imran, M.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
ISSN:2166-9589
ISBN:9781538635315
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3007250Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)EP/P028764/1ENG - Systems Power & Energy