Title :
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
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;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2353-3
DOI :
10.1109/ICCCI.2014.6921819
