Clustering based power management for green LTE networks

Author

Sachan, Ruchi ; Saxena, Navrati

Author_Institution

Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea

fYear

2014

fDate

3-5 Jan. 2014

Firstpage

1

Lastpage

3

Abstract

The power consumption of wireless access networks is becoming an important issue in the green cellular-technology. The concept of green 4G LTE system depends on enhanced design strategy of efficient LTE energy system in order to reduce greenhouse emission as well as operators energy bill. In this paper we have studied eNB sleep modes to identify the traffic awareness in LTE networks and subsequently design a cooperative communication framework for energy consumption reduction. We calculated the percentage of energy which can be saved with eNB sleep modes, proving that it can be close to 30% of the total network energy consumption.

Keywords

Long Term Evolution; energy conservation; green computing; pattern clustering; telecommunication power management; LTE energy system; LTE network traffic awareness; Long-Term Evolution; clustering based power management; cooperative communication framework; eNB sleep modes; energy consumption reduction; green 4G LTE system; green LTE networks; green cellular-technology; greenhouse emission; operators energy bill; power consumption; wireless access networks; Conferences; Energy consumption; Energy efficiency; Green products; Power demand; Switches; Wireless communication; coverage; eNB; green wireless; pattern clustering; power consumption;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communication and Informatics (ICCCI), 2014 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-2353-3

Type

conf

DOI

10.1109/ICCCI.2014.6921819

Filename

6921819