• DocumentCode
    2856792
  • Title

    On self-optimization of the random access procedure in 3G Long Term Evolution

  • Author

    Amirijoo, Mehdi ; Frenger, Pål ; Gunnarsson, Fredrik ; Moe, Johan ; Zetterberg, Kristina

  • Author_Institution
    Wireless Access Networks, Ericsson AB, Kista, Sweden
  • fYear
    2009
  • fDate
    1-5 June 2009
  • Firstpage
    177
  • Lastpage
    184
  • Abstract
    Operationally efficient radio networks typically feature a high degree of self-organization. This means less planning efforts and manual intervention, and a potential for better radio resource utilization when network elements adapts its operation to the observed local conditions. The focus in this paper is self-optimization of the random access channel (RACH) in the 3G Long Term Evolution (LTE). A comprehensive tutorial about the RACH procedure is provided to span the complexity of the self-optimization. Moreover, the paper addresses RACH key performance metrics and appropriate modeling of the various steps and components of the procedure. Finally, some coupling between parameters and key performance metrics as well as self-optimization examples are presented together with a feasibility discussion. The main ambition with this workshop paper is to present and define a relevant set of self-optimization problems, rather than to provide a complete solution.
  • Keywords
    3G mobile communication; computational complexity; 3G Long Term Evolution; radio networks; radio resource utilization; random access channel; self-optimization complexity; Automation; Base stations; Delay; Long Term Evolution; Measurement; Mobile communication; Radio network; Resource management; Traffic control; Wireless networks; 3GPP; E-UTRAN; LTE; RACH; Random Access; Self-Optimization; Self-Organization; Self-Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management-Workshops, 2009. IM '09. IFIP/IEEE International Symposium on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4244-3923-2
  • Electronic_ISBN
    978-1-4244-3924-9
  • Type

    conf

  • DOI
    10.1109/INMW.2009.5195957
  • Filename
    5195957