• DocumentCode
    1931925
  • Title

    Resource Efficiency of Traffic-Centric Models for Complex LTE Systems

  • Author

    Pileggi, Paolo

  • Author_Institution
    Dept. of Eng., Networking Group, Univ. of Rome (Tor Vergata), Rome, Italy
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    357
  • Lastpage
    362
  • Abstract
    Simulation is the dominating method to model wireless communication systems, especially fourth generation (4G) wireless technologies, such as 3GPP long term evolution (LTE). However, orthodox simulation, i.e., discrete-event simulation (DES), has severe short-comings. It takes days, weeks, and even months, to produce sound performance estimates. As for 4G in general, LTE is connection-oriented. Including connection -- and packet-level activities in one model poses serious resource-requirement problems because the time-resolution of events at each respective level differs to the order of magnitude of at least 10E06. Consequently, Traffic-Centric Modelling (TCM) has been proposed as a feasible alternative to DES. In this paper, we present a TCM model of an LTE uplink scenario as proof-of-concept that TCM is, in fact, capable of modelling complex systems. Moreover, experimental results indicate a significant improvement in temporal and spatial resource-requirements achieved by TCM.
  • Keywords
    4G mobile communication; Long Term Evolution; telecommunication traffic; 3GPP Long Term EvoLution; 4G wireless technologies; DES; LTE uplink scenario; TCM model; complex LTE systems; connection-level activities; discrete-event simulation; fourth generation wireless technologies; orthodox simulation; packet-level activities; resource-requirement problems; spatial resource-requirements; traffic-centric model resource efficiency; traffic-centric modelling; wireless communication systems; Computational modeling; Memory management; Observers; Quality of service; Real-time systems; Robustness; Wireless communication; Hybrid Performance Models; Long Term Evolution; Traffic-Centric Modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
  • Conference_Location
    Kuantan
  • ISSN
    2166-8531
  • Print_ISBN
    978-1-4673-3113-5
  • Type

    conf

  • DOI
    10.1109/CIMSim.2012.11
  • Filename
    6338104