Coordination of Macro Base Stations for 5G Network with User Clustering

With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which not only raises the operating expenses of teleco...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Kun Li [verfasserIn] Xiaomeng Ai [verfasserIn] Jiakun Fang [verfasserIn] Bo Zhou [verfasserIn] Lingling Le [verfasserIn] Jinyu Wen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	5G macro base station energy management BS sleeping user clustering Benders decomposition

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 16, p 5501
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:16, p 5501

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21165501

Katalog-ID:	DOAJ084307811

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allfieldsSound	10.3390/s21165501 doi (DE-627)DOAJ084307811 (DE-599)DOAJ5855eb5c79bf49e5a7775dee2983cb59 DE-627 ger DE-627 rakwb eng TP1-1185 Kun Li verfasserin aut Coordination of Macro Base Stations for 5G Network with User Clustering 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which not only raises the operating expenses of telecom operators but also imposes a burden on the environment. To solve this problem, a two-step energy management method that coordinates 5G macro BSs for 5G networks with user clustering is proposed. The coordination among the communication equipment and the standard equipment in 5G macro BSs is developed to reduce both the energy consumption and the electricity costs. A novel user clustering method is proposed together with Benders decomposition to accelerate the solving process. Simulation results show that the proposed method is computationally efficient and can ensure near-optimal performance, effectively reducing the energy consumption and electricity costs compared with the conventional dispatching scheme. 5G macro base station energy management BS sleeping user clustering Benders decomposition Chemical technology Xiaomeng Ai verfasserin aut Jiakun Fang verfasserin aut Bo Zhou verfasserin aut Lingling Le verfasserin aut Jinyu Wen verfasserin aut In Sensors MDPI AG, 2003 21(2021), 16, p 5501 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:16, p 5501 https://doi.org/10.3390/s21165501 kostenfrei https://doaj.org/article/5855eb5c79bf49e5a7775dee2983cb59 kostenfrei https://www.mdpi.com/1424-8220/21/16/5501 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 16, p 5501
language	English
source	In Sensors 21(2021), 16, p 5501 volume:21 year:2021 number:16, p 5501
sourceStr	In Sensors 21(2021), 16, p 5501 volume:21 year:2021 number:16, p 5501
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	5G macro base station energy management BS sleeping user clustering Benders decomposition Chemical technology
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container_title	Sensors
authorswithroles_txt_mv	Kun Li @@aut@@ Xiaomeng Ai @@aut@@ Jiakun Fang @@aut@@ Bo Zhou @@aut@@ Lingling Le @@aut@@ Jinyu Wen @@aut@@
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callnumber-first	T - Technology
author	Kun Li
spellingShingle	Kun Li misc TP1-1185 misc 5G macro base station misc energy management misc BS sleeping misc user clustering misc Benders decomposition misc Chemical technology Coordination of Macro Base Stations for 5G Network with User Clustering
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topic_title	TP1-1185 Coordination of Macro Base Stations for 5G Network with User Clustering 5G macro base station energy management BS sleeping user clustering Benders decomposition
topic	misc TP1-1185 misc 5G macro base station misc energy management misc BS sleeping misc user clustering misc Benders decomposition misc Chemical technology
topic_unstemmed	misc TP1-1185 misc 5G macro base station misc energy management misc BS sleeping misc user clustering misc Benders decomposition misc Chemical technology
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title	Coordination of Macro Base Stations for 5G Network with User Clustering
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title_auth	Coordination of Macro Base Stations for 5G Network with User Clustering
abstract	With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which not only raises the operating expenses of telecom operators but also imposes a burden on the environment. To solve this problem, a two-step energy management method that coordinates 5G macro BSs for 5G networks with user clustering is proposed. The coordination among the communication equipment and the standard equipment in 5G macro BSs is developed to reduce both the energy consumption and the electricity costs. A novel user clustering method is proposed together with Benders decomposition to accelerate the solving process. Simulation results show that the proposed method is computationally efficient and can ensure near-optimal performance, effectively reducing the energy consumption and electricity costs compared with the conventional dispatching scheme.
abstractGer	With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which not only raises the operating expenses of telecom operators but also imposes a burden on the environment. To solve this problem, a two-step energy management method that coordinates 5G macro BSs for 5G networks with user clustering is proposed. The coordination among the communication equipment and the standard equipment in 5G macro BSs is developed to reduce both the energy consumption and the electricity costs. A novel user clustering method is proposed together with Benders decomposition to accelerate the solving process. Simulation results show that the proposed method is computationally efficient and can ensure near-optimal performance, effectively reducing the energy consumption and electricity costs compared with the conventional dispatching scheme.
abstract_unstemmed	With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy consumption of 5G base stations (BSs) is increasing significantly, which not only raises the operating expenses of telecom operators but also imposes a burden on the environment. To solve this problem, a two-step energy management method that coordinates 5G macro BSs for 5G networks with user clustering is proposed. The coordination among the communication equipment and the standard equipment in 5G macro BSs is developed to reduce both the energy consumption and the electricity costs. A novel user clustering method is proposed together with Benders decomposition to accelerate the solving process. Simulation results show that the proposed method is computationally efficient and can ensure near-optimal performance, effectively reducing the energy consumption and electricity costs compared with the conventional dispatching scheme.
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title_short	Coordination of Macro Base Stations for 5G Network with User Clustering
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Coordination of Macro Base Stations for 5G Network with User Clustering

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