• DocumentCode
    2442747
  • Title

    A novel cell selection strategy with load balancing for both idle and RRC-connected users in 3GPP LTE network

  • Author

    Cen Qian ; Sihai Zhang ; Wuyang Zhou

  • Author_Institution
    Wireless Inf. Network Lab., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2012
  • fDate
    25-27 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In current LTE protocol, the cell selection mechanism based on only the Reference Signal Received Power (RSRP) would easily bring high call dropping rate due to ignoring the cell load status. In our paper, for the RRC connected users and the idle users, a novel cell selection strategy is proposed through taking the cell load condition as one selection criterion and applying polling strategy until a proper cell is selected. Moreover, load balance method is designed to offload the excess traffic to those low-loaded cells, making the system resources to be utilized more abundantly. Qualitatively, our analysis based on an n-demensional Markov Chain modeling shows that the load balance process can reduce the call outage probability, which is verified by the simulation results. Our strategy can bring less new call blocks, less handoff call drops and more balanced resource utilization of different cells.
  • Keywords
    Long Term Evolution; Markov processes; mobility management (mobile radio); probability; 3GPP LTE network; LTE protocol; RSRP; call outage probability; cell load status; cell selection mechanism; handoff call drops; high call dropping rate; load balancing method; n-demensional Markov Chain; novel cell selection strategy; polling strategy; reference signal received power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2012 International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4673-5830-9
  • Electronic_ISBN
    978-1-4673-5829-3
  • Type

    conf

  • DOI
    10.1109/WCSP.2012.6542806
  • Filename
    6542806