• DocumentCode
    2342448
  • Title

    Green resource allocation in LTE system for unbalanced low load networks

  • Author

    Li, Yun ; Liu, Wenjing ; Cao, Bin ; Li, Man

  • Author_Institution
    Lab. of Wireless Networks, Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    1009
  • Lastpage
    1014
  • Abstract
    In Long Term Evolution (LTE) networks, Energy-Efficient (EE) and Mobility Load Balancing (MLB) are two important functions to optimize the network performance. In order to deal with the energy consumption in downlink LTE system for unbalanced low load scenarios, we built an effective EE resource allocation optimization model and employed a low complexity method to achieve the goal of the optimization in this paper, named EE-VBEM. Simulation results show that EE-VBEM can reduce the overall downlink energy consumption significantly and enhance the spectrum efficiency effectively in unbalanced low load networks.
  • Keywords
    Long Term Evolution; energy consumption; resource allocation; EE resource allocation optimization model; EE-VBEM; Long Term Evolution networks; downlink LTE system; energy consumption; green resource allocation; mobility load balancing; unbalanced low load networks; Base stations; Downlink; Energy consumption; Energy efficiency; Interference; Resource management; Signal to noise ratio; bandwidth expansion; energy-efficient; load balancing; resource allocation; unbalanced low load;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
  • Conference_Location
    Sydney, NSW
  • ISSN
    2166-9570
  • Print_ISBN
    978-1-4673-2566-0
  • Electronic_ISBN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2012.6362492
  • Filename
    6362492