DocumentCode
653155
Title
Base Station Sleeping with Dynamical Clustering Strategy of CoMP in LTE-advanced
Author
Yun Li ; Yafei Ma ; Yong Wang ; Weiliang Zhao
Author_Institution
Chongqing Univ. of Post & Telecommun., Chongqing, China
fYear
2013
fDate
20-23 Aug. 2013
Firstpage
157
Lastpage
162
Abstract
Due to the increasing number of wireless devices, power consumption and energy efficiency (EE) have become important performance indicators of the cellular network. It is an effective method to reduce energy consumption by switching off some underutilized base stations (BSs). The user equipments (UEs) left by the sleeping BS can be serviced by the nearby active BSs. And through Coordinated Multi-Point technology (CoMP), it does not need to increase transmit power of the active BSs to ensure the coverage of the network. The method combining sleep mode with static clustering is only applied to the scenario during off-peak time and uniform user distributed. Static clustering is fixed once it formed, which does not change with the movement of the user´s position. In order to solve this problem, we propose an algorithm combining BS sleeping with dynamic clustering (SMDC) to maximize EE. The simulation results show that the proposed method can greatly improve the EE of the whole system. Besides, we use system level simulation to estimate the performance of this method.
Keywords
Long Term Evolution; cellular radio; power consumption; CoMP; LTE-advanced; Long Term Evolution; base station sleeping; cellular network; coordinated multipoint technology; dynamic clustering; energy consumption; energy efficiency; power consumption; static clustering; wireless devices; Algorithm design and analysis; Clustering algorithms; Heuristic algorithms; Interference; Power demand; Signal processing; Signal processing algorithms;
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.2013.48
Filename
6682062
Link To Document