• DocumentCode
    3319942
  • Title

    A Novel Self-Optimizing Handover Mechanism for Multi-service Provisioning in LTE-Advanced

  • Author

    Zhang, Haijun ; Wen, Xiangming ; Wang, Bo ; Zheng, Wei ; Lu, Zhaoming

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    The 3GPP is defining the next generation radio access network which introduces advanced self- optimization to reduce the operational efforts and complexity. It is also of interest to minimize operational effort by introducing self-optimizing mechanisms. Optimization of the handover parameters is an important goal of LTE-Advanced. In this paper, a new self- optimizing handover algorithm based on the estimation of the number of cell-boundary crossings is proposed. The algorithm adjusts the handover parameters, such as Time- to-Trigger, measurement interval, and hysteresis, by comparing the number of cell-boundary crossings and the number of handovers UE performed in a period. To optimize the handover performance further, an adaptive L3 filter based on the UE´s velocity is proposed in this paper. A typical application scenario of this algorithm is high/medium speed environment under multi-service provisioning. The simulation results shows that the algorithms proposed in this paper have a better performance in the rate of ping-pong handovers and the average number of handovers.
  • Keywords
    3G mobile communication; digital filters; optimisation; quality of service; LTE-advanced; adaptive L3 filter; cell-boundary crossings estimation; long term evolution; multiservice provisioning; next generation radio access network; self-optimizing handover algorithm; 3G mobile communication; Computer science; Filters; Hysteresis; Long Term Evolution; Next generation networking; Performance evaluation; Quality of service; Radio access networks; Vehicles; LTE-Advanced; cell-boundary crossing; handover; self-optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Computer Science, 2009. ICRCCS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3927-0
  • Electronic_ISBN
    978-1-4244-5410-5
  • Type

    conf

  • DOI
    10.1109/ICRCCS.2009.64
  • Filename
    5401249