• DocumentCode
    615916
  • Title

    Selection of transmission points for delay minimization in LTE-A heterogeneous networks with low-power RRHs

  • Author

    Cheng-Pang Chien ; Kai-Min Yang ; Hung-Yun Hsieh

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    783
  • Lastpage
    788
  • Abstract
    Heterogeneous network with small cells has recently been regarded as a promising scenario in LTE-Advanced systems. In particular, transmission point selection for heterogeneous networks with low-power nodes has drawn attention. We consider in this paper a scenario where a set users is admitted to a macrocell, but it is yet to be determined how each user is served solely or cooperatively by the set of subordinate transmission points in the cell. Unlike related work that focuses on maximizing the system throughput, we formulate a joint optimization problem of transmission point selection and resource allocation to minimize the total transmission delay of users in the cell. The formulated problem is NP-hard, and thus we propose an algorithm based on overlapping clustering and Gibbs sampler for solving the problem. Simulation results show that, compared to related approaches, the total transmission delay can be reduced by 34% and the Jain´s fairness index can be increased to 0.9 on average.
  • Keywords
    Long Term Evolution; computational complexity; delays; optimisation; Gibbs sampler; Jain fairness index; LTE-A heterogeneous networks; LTE-Advanced systems; NP-hard problem; delay minimization; low-power RRH; macrocell; optimization problem; subordinate transmission points; total transmission delay; transmission points selection; Delays; Equations; Joints; Linear programming; Optimization; Resource management; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554663
  • Filename
    6554663