DocumentCode
653142
Title
Optimization of Renewable Green Base Station Deployment
Author
Pamuklu, Turgay ; Ersoy, Cem
Author_Institution
Dept. of Comput. Eng., Bogazici Univ. Bebek, Istanbul, Turkey
fYear
2013
fDate
20-23 Aug. 2013
Firstpage
59
Lastpage
63
Abstract
Energy efficient operation of mobile stations has been investigated since almost two decades because of their limited power sources. On the other hand, cellular network base stations obtain their energy from the power grid which was reasonably priced so that power consumption optimization was not needed. However power source prices increases day by day across the board as well as on ICT. Moreover, green energy source awareness of the society increases exponentially and governments start to change their power policies to promote green energy sources. Therefore, significant amount of recent ICT research efforts started focusing on green base station problems. This paper proposes a novel deployment algorithm which deals with both the heterogonous deployment problem using renewable power source base stations and the cell-zooming technique. Results show that power consumption decreases significantly hence reducing carbon emission rates and decreasing the expenditures of the operators significantly while sustaining acceptable performance in the form of spectral efficiency and coverage.
Keywords
cellular radio; energy conservation; optimisation; power grids; carbon emission reduction; cell-zooming technique; cellular network base stations; green energy source awareness; heterogonous deployment problem; mobile stations; power consumption optimization; power grid; power source prices; renewable green base station deployment; spectral coverage; spectral efficiency; Air pollution; Base stations; Carbon dioxide; Energy consumption; Green products; Power demand; Renewable energy sources; Cellular networks; base station deployment; energy efficiency; green networking;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location
Beijing
Type
conf
DOI
10.1109/GreenCom-iThings-CPSCom.2013.35
Filename
6682049
Link To Document