• 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