• DocumentCode
    653153
  • Title

    Collaborative Sleeping Scheme for Femtocell Networks

  • Author

    Yun Li ; Yufang Jia ; Yong Wang ; Qilie Liu

  • Author_Institution
    Chongqing Univ. of Post & Telecommun., Chongqing, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    142
  • Lastpage
    147
  • Abstract
    Energy consumption is rising sharply due to the large deployment of the Home Base Stations (HeNBs) by subscribers, it not only brings the cost burden to operators, but also brings the pollution to the environment. Now the energy efficiency (EE) researches on HeNB are based on the algorithms about the adaptive power or the spectrum utilization, rarely consider the collaborative sleeping scheme to save the energy in the femtocell networks. This paper presents a collaborative sleeping scheme to aim at the problem about wasting resources in the femtocell networks system. In the environment of HeNBs densely deployment, the proposed scheme will turn the unnecessary HeNBs into sleep mode, and only the neceesary HeNBs are still in the active mode, which aims to save the energy in the networks. Then, we evaluate the user´s quality of service (QoS) under different factors. The simulation results show that the proposed scheme not only improves the QoS of the femto user (HUE), but also enhances the capacity of the system and saves the energy.
  • Keywords
    femtocellular radio; quality of service; radio spectrum management; EE research; HUE; HeNB; QoS; collaborative sleeping scheme; energy consumption; energy efficiency research; femtocell networks system; home base station; quality of service; spectrum utilization; Buildings; Collaboration; Femtocell networks; Interference; Quality of service; Signal to noise ratio; Throughput; HeNB; QoS; active mode; energy saving; sleep mode;
  • 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.2013.46
  • Filename
    6682060