• DocumentCode
    1789103
  • Title

    Modeling of tracking area list-based location update scheme in Long Term Evolution

  • Author

    Xian Wang ; Xianfu Lei ; Hu, Rose ; Yi Qian

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    2325
  • Lastpage
    2331
  • Abstract
    Long Term Evolution uses a new location update (LU) scheme, called a tracking area list (TAL)-based scheme, to overcome the defects of the LU scheme used in 2G and 3G cellular networks. Under the TAL-based LU scheme, each time a user equipment (UE) performs an LU, it is allocated a group of tracking areas, referred to as a TAL, within which the UE can move freely without any LU. The UE performs an LU when moving out of the TAL. The performance of the TAL-based LU scheme depends on the allocated TAL. In this paper we develop a mathematical model to analyze the signaling overhead of the TAL-based LU scheme for local UEs whose mobility exhibits strong regularity. We derive formulas for the LU cost and the paging cost of a TAL allocation strategy. With these formulas we can find an optimal TAL allocation strategy to minimize the signaling cost of the TAL-based LU scheme.
  • Keywords
    Long Term Evolution; cellular radio; mobile computing; mobility management (mobile radio); modelling; telecommunication signalling; 2G cellular network; 3G cellular network; Long Term Evolution; TAL allocation strategy; TAL-based LU scheme; local UE; location update scheme; mathematical model; signaling cost minimization; signaling overhead; tracking area list modeling; user equipment; Electromagnetic compatibility; GSM; Markov processes; Mobile communication; Mobile computing; Resource management; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883670
  • Filename
    6883670