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 :
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