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Paper Abstract and Keywords
Presentation 2018-01-30 11:35
Optimum Design for Energy Management in Green Base Station Group
Yoichiro Hakuto, Kazuhiro Kamiya, Kazuhiko Takeno (NTT DOCOMO) EE2017-69
Abstract (in Japanese) (See Japanese page) 
(in English) We propose operational planning methods of battery control for energy management on Green Base Stations (G-BTSs) in a wide area. NTT DOCOMO has batteries in Base Stations for backup purposes in case of an emergency. We can discharge batteries to reduce the power consumption and consequently reduce to need to purchase power.
Keyword (in Japanese) (See Japanese page) 
(in English) Green-BTS / Energy management / Power demand reduction control / Genetic Algorism / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 424, EE2017-69, pp. 157-158, Jan. 2018.
Paper # EE2017-69 
Date of Issue 2018-01-22 (EE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
技術研究報告に掲載された論文の著作権はIEICEに帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EE2017-69

Conference Information
Committee EE  
Conference Date 2018-01-29 - 2018-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Campus Oita 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EE 
Conference Code 2018-01-EE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimum Design for Energy Management in Green Base Station Group 
Sub Title (in English)  
Keyword(1) Green-BTS  
Keyword(2) Energy management  
Keyword(3) Power demand reduction control  
Keyword(4) Genetic Algorism  
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1st Author's Name Yoichiro Hakuto  
1st Author's Affiliation NTT DOCOMO, Inc. (NTT DOCOMO)
2nd Author's Name Kazuhiro Kamiya  
2nd Author's Affiliation NTT DOCOMO, Inc. (NTT DOCOMO)
3rd Author's Name Kazuhiko Takeno  
3rd Author's Affiliation NTT DOCOMO, Inc. (NTT DOCOMO)
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Speaker
Date Time 2018-01-30 11:35:00 
Presentation Time 30 
Registration for EE 
Paper # IEICE-EE2017-69 
Volume (vol) IEICE-117 
Number (no) no.424 
Page pp.157-158 
#Pages IEICE-2 
Date of Issue IEICE-EE-2018-01-22 


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