• DocumentCode
    111187
  • Title

    Device-to-device communications achieve efficient load balancing in LTE-advanced networks

  • Author

    Jiajia Liu ; Kawamoto, Yasutaka ; Nishiyama, Hiroki ; Kato, Nei ; Kadowaki, Naoto

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´an, China
  • Volume
    21
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    57
  • Lastpage
    65
  • Abstract
    In LTE-Advanced networks, besides the overall coverage provided by traditional macrocells, various classes of low-power nodes (e.g., pico eNBs, femto eNBs, and relays) can be distributed throughout the macrocells as a more targeted underlay to further enhance the area´s spectral efficiency, alleviate traffic hot zones, and thus improve the end-user experience. Considering the limited backhaul connections within lowpower nodes and the imbalanced traffic distribution among different cells, it is highly possible that some cells are severely congested while adjacent cells are very lightly loaded. Therefore, it is of critical importance to achieve efficient load balancing among multi-tier cells in LTE-Advanced networks. However, available techniques such as smart cell and biasing, although able to alleviate congestion or distribute traffic to some extent, cannot respond or adapt flexibly to the real-time traffic distributions among multi-tier cells. Toward this end, we propose in this article a device-to-device communication-based load balancing algorithm, which utilizes D2D communications as bridges to flexibly offload traffic among different tier cells and achieve efficient load balancing according to their real-time traffic distributions. Besides identifying the research issues that deserve further study, we also present numerical results to show the performance gains that can be achieved by the proposed algorithm.
  • Keywords
    Long Term Evolution; cellular radio; resource allocation; telecommunication congestion control; telecommunication traffic; D2D communications; LTE advanced networks; device-to-device communications; efficient load balancing; end user experience; long term evolution; low power nodes; macrocells; multitier cells; spectral efficiency; traffic distribution; Algorithm design and analysis; Interference; Load management; Long Term Evolution; Machine-to-machine communication; Macrocell networks; Relays;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1284
  • Type

    jour

  • DOI
    10.1109/MWC.2014.6812292
  • Filename
    6812292