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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2020
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2020
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https://doi.org/10.54216/jcim....
Article . 2020 . Peer-reviewed
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Article . 2020
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Energy Efficiency Techniques in Heterogeneous Networks

Authors: Sandeep Tayal; Ashish Sharma; Radhika Bansal; Sushant Verma;

Energy Efficiency Techniques in Heterogeneous Networks

Abstract

According to the present data 0.5% of global energy is consumed by wireless networks. Energy efficiency is required for the environment and to lower the network operational cost. In this paper, we are about to discuss various methods of energy conservation in the heterogeneous cellular network. Energy consumption is reduced by self-organization algorithm and message passing algorithm by switching off-peak Base station controllers (BSC). Along with the increasing demands for cellular networks, the various problems for energy conservation in cellular networking have also increased. There are various models present which help in increasing the energy efficiency of cellular networking such as the Novel power consumption model and refined power consumption model. Also, an increase in the higher performance of cellular networks leads to an increase in energy consumption. In this paper, we are about to discuss various challenges which are faces for increasing energy efficiency and their solution.

  • BIP!
    Impact byBIP!
    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).
    5
    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.
    Top 10%
    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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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!
5
Top 10%
Average
Average