Cover Image

Analysis of Energy Consumption Using Sequential to Better Signal (SBS) Scheme for Green Celluler Network

Main Authors: Mahmudah, Haniah, Puspitorini, Okkie, Wijayanti, Ari, Siswandari, Nur Adi, Kusumaningrum, Yetik Dwi
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Politeknik Elektronika Negeri Surabaya (PENS) , 2020
Subjects:
Energy Consumption
SINR
Sequential to Better Signal (SBS)
Green Cellular Network
Online Access: http://emitter.pens.ac.id/index.php/emitter/article/view/481
http://emitter.pens.ac.id/index.php/emitter/article/view/481/193
ctrlnum article-481
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Analysis of Energy Consumption Using Sequential to Better Signal (SBS) Scheme for Green Celluler Network</title><creator>Mahmudah, Haniah</creator><creator>Puspitorini, Okkie</creator><creator>Wijayanti, Ari</creator><creator>Siswandari, Nur Adi</creator><creator>Kusumaningrum, Yetik Dwi</creator><subject lang="en-US">Energy Consumption</subject><subject lang="en-US">SINR</subject><subject lang="en-US">Sequential to Better Signal (SBS)</subject><subject lang="en-US">Green Cellular Network</subject><description lang="en-US">Over time, cellular communication technology developed significantly from year to year. This is due to increasing the number of users and the higher needed. To overcome this problem, many providers increase the number of new base station installations to fill up the customer's needed. The increase number of base stations does not take into account the amount of power consumption produced, where in the cellular network Base Stations (BS) are the most dominant energy consuming equipment estimated at 60% - 80% of the total energy consumption in the cellular industry. In addition, energy waste often occurs in the BS where the emission power will always remain even if the number of users is small. Power consumption and energy savings are important issues at this time because they will affect CO2 emissions in the air. This paper proposes to save energy consumption from BS by turning off BS (sleep mode) if the number of users is small and distributed to other BS (neighboring BS) which is called cell zooming technique. The cell size can zoom out when the load traffic is high and zoom in when the load traffic is low. To determine the central BS and neighboring BS, a sequential to better signal (SBS) scheme is used where this scheme sorts neighboring BS based on the SINR value received (user). The results of this research, base station can be able to save energy 29.12% and reduce CO2 emission around 3580 kg/year. &amp;nbsp;It means saving energy consumption which is also reducing air pollution occurs and this term can be named as green cellular network.&amp;nbsp;</description><publisher lang="en-US">Politeknik Elektronika Negeri Surabaya (PENS)</publisher><date>2020-06-02</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>File:application/pdf</type><identifier>http://emitter.pens.ac.id/index.php/emitter/article/view/481</identifier><identifier>10.24003/emitter.v8i1.481</identifier><source lang="en-US">EMITTER International Journal of Engineering Technology; Vol 8 No 1 (2020); 221-239</source><source>2443-1168</source><source>2355-391X</source><source>10.24003/emitter.v8i1</source><language>eng</language><relation>http://emitter.pens.ac.id/index.php/emitter/article/view/481/193</relation><rights lang="en-US">Copyright (c) 2020 EMITTER International Journal of Engineering Technology</rights><rights lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</rights><recordID>article-481</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
File:application/pdf
File
Journal:eJournal
author Mahmudah, Haniah
Puspitorini, Okkie
Wijayanti, Ari
Siswandari, Nur Adi
Kusumaningrum, Yetik Dwi
title Analysis of Energy Consumption Using Sequential to Better Signal (SBS) Scheme for Green Celluler Network
publisher Politeknik Elektronika Negeri Surabaya (PENS)
publishDate 2020
topic Energy Consumption
SINR
Sequential to Better Signal (SBS)
Green Cellular Network
url http://emitter.pens.ac.id/index.php/emitter/article/view/481
http://emitter.pens.ac.id/index.php/emitter/article/view/481/193
contents Over time, cellular communication technology developed significantly from year to year. This is due to increasing the number of users and the higher needed. To overcome this problem, many providers increase the number of new base station installations to fill up the customer's needed. The increase number of base stations does not take into account the amount of power consumption produced, where in the cellular network Base Stations (BS) are the most dominant energy consuming equipment estimated at 60% - 80% of the total energy consumption in the cellular industry. In addition, energy waste often occurs in the BS where the emission power will always remain even if the number of users is small. Power consumption and energy savings are important issues at this time because they will affect CO2 emissions in the air. This paper proposes to save energy consumption from BS by turning off BS (sleep mode) if the number of users is small and distributed to other BS (neighboring BS) which is called cell zooming technique. The cell size can zoom out when the load traffic is high and zoom in when the load traffic is low. To determine the central BS and neighboring BS, a sequential to better signal (SBS) scheme is used where this scheme sorts neighboring BS based on the SINR value received (user). The results of this research, base station can be able to save energy 29.12% and reduce CO2 emission around 3580 kg/year. &nbsp;It means saving energy consumption which is also reducing air pollution occurs and this term can be named as green cellular network.&nbsp;
id IOS3513.article-481
institution Politeknik Elektronika Negeri Surabaya
institution_id 507
institution_type library:university
library
library Perpustakaan Politeknik Elektronika Negeri Surabaya
library_id 325
collection EMITTER International Journal of Engineering Technology
repository_id 3513
subject_area Rekayasa
city KOTA SURABAYA
province JAWA TIMUR
repoId IOS3513
first_indexed 2020-06-13T12:38:12Z
last_indexed 2023-03-05T05:21:28Z
recordtype dc
_version_ 1764580776861499392
score 17.538404

Lihat Juga