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Experimental Evaluation of Power Consumption in Virtualized Base Stations

Jose A. Ayala-Romero; Ihtisham Khalid; Andres Garcia-Saavedra; Xavier Costa-Perez; George Iosifidis;

Experimental Evaluation of Power Consumption in Virtualized Base Stations

Abstract

Network virtualization is intended to be a key element of new generation networks. However, it is no clear how the implantation of this new paradigm will affect the power consumption of the network. To shed light on this relatively unexplored topic, we evaluate and analyze the power consumption of virtualized Base Station (vBS) experimentally. In particular, we measure the power consumption associated with uplink transmissions as a function of different variables such as traffic load, channel quality, modulation selection, and bandwidth. We find interesting tradeoffs between power savings and performance and propose two linear mixed-effect models to approximate the experimental data. These models allow us to understand the power behavior of the vBS and select powerefficient configurations. We release our experimental dataset hoping to foster further efforts in this research area.

Country
Netherlands
Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Distributed computing Base station Throughput Telecommunications link Computer science Communication channel Power (physics) Bandwidth (computing) Data modeling Network virtualization

Keywords

Virtualized Base Stations

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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    96
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
102
96
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Funded by
EC| DAEMON
Project
DAEMON
Network intelligence for aDAptive and sElf-Learning MObile Networks
  • Funder: European Commission (EC)
  • Project Code: 101017109
  • Funding stream: H2020 | RIA
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