• DocumentCode
    609162
  • Title

    Cooperative Sleep-mode and performance modeling for heterogeneous mobile network

  • Author

    Guiying Wu ; Gang Feng ; Shuang Qin

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    6
  • Lastpage
    11
  • Abstract
    Configuration of eNB Sleep-mode is a promising strategy in improving network energy efficiency of next generation mobile networks. The main idea of sleep-mode mechanism is to reduce the energy consumption of cells during the periods when they are not necessary due to low traffic. In this paper, we propose a cooperative sleep-mode strategy for heterogeneous mobile networks where several small cells supply the overlapping coverage, and provide a mathematical model for analyzing the performance of the strategy. Specifically, we develop a cooperative sleep-mode mechanism, which is implemented by an Adaptive sleep-mode mechanism (ASM) algorithm. We then use E/M/1 and E/M/n queuing model to analyze the energy efficiency of our proposed algorithm. Our model takes into account the traffic density and system transmission capacity. We also conduct intensive simulation experiments based on the model with realistic broadband channel propagation conditions, to verify advantages of the cooperative sleep mode for improving network energy efficiency and demonstrate the effectiveness of our analytical model.
  • Keywords
    cooperative communication; energy conservation; next generation networks; queueing theory; telecommunication power management; telecommunication traffic; wireless channels; ASM algorithm; E/M/1 queuing model; EIMln queuing model; adaptive sleep mode mechanism; broadband channel propagation; cooperative sleep mode strategy; eNB sleep mode; heterogeneous mobile network; mathematical model; network energy efficiency improvement; next generation mobile network; overlapping coverage; performance modeling; system transmission capacity; traffic density; Adaptation models; Adaptive systems; Manganese; Mathematical model; Next generation networking; Queueing analysis; Switches; Energy efficiency; Heterogeneous mobile network; Queuing model; Sleep-mode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-0109-8
  • Electronic_ISBN
    978-1-4799-0108-1
  • Type

    conf

  • DOI
    10.1109/WCNCW.2013.6533306
  • Filename
    6533306