2012
DOI: 10.1007/978-3-642-30039-4_4
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Evaluation of ON-OFF Schemes and Linear Prediction Methods for Increasing Energy Efficiency in Mobile Broadband Networks

Abstract: Abstract. Nowadays, energy efficiency has become a major issue in mobile networks operation. Due to the exponential rise in the number of wireless Internet-connected mobile devices reducing electrical energy consumption is not only a matter of showing environmental responsibility, but also of substantially reducing their operational expenditure. However, energy reduction cannot be pursued at any cost and appropriate service has to be supported. Among the diverse hardware and software solutions available, this … Show more

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Cited by 4 publications
(3 citation statements)
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“…For instance, working days and holidays have different load curves (see, e.g., [19]), and other human activities do affect the context: the typical example is an hexagon covering a major sports venue, whose load curve on the game days (e.g., Sundays) depends on whether the local sports team plays home or away. Moreover, the operator possesses a similar curve (or set thereof) detailing the number of users per cell over time, so that the average per-user bitrate can be inferred (a possible method to obtain such information is using monitoring systems that measure the values of specific KPIs (e.g., number of types of UE) with a fixed time resolution [22]. These measurements are repeated in different days with the same operating conditions (e.g., working days) in order to produce a daily profile of the average values for the given KPI.).…”
Section: System Model and Problem Statementmentioning
confidence: 99%
“…For instance, working days and holidays have different load curves (see, e.g., [19]), and other human activities do affect the context: the typical example is an hexagon covering a major sports venue, whose load curve on the game days (e.g., Sundays) depends on whether the local sports team plays home or away. Moreover, the operator possesses a similar curve (or set thereof) detailing the number of users per cell over time, so that the average per-user bitrate can be inferred (a possible method to obtain such information is using monitoring systems that measure the values of specific KPIs (e.g., number of types of UE) with a fixed time resolution [22]. These measurements are repeated in different days with the same operating conditions (e.g., working days) in order to produce a daily profile of the average values for the given KPI.).…”
Section: System Model and Problem Statementmentioning
confidence: 99%
“…Moreover, these profiles are also suitable for the evaluation of EE features (e.g. like those proposed in [8] and ON-OFF schemes tested in [9] with commercial BSs).…”
Section: A Network Data Traffic Profilesmentioning
confidence: 99%
“…One of such improvements can come from the ON-OFF algorithm described in [5], that has been evaluated in the Test Plant of Telecom Italia. The ON-OFF scheme considered in the present paper can be applied to both existing (less efficient) and new (more efficient from the energy point of view) network equipment, adding a further improvement at the network level, as it will be shown in the paper.…”
Section: Mobile Energy Efficiency Outlinementioning
confidence: 99%