• DocumentCode
    149002
  • Title

    A random access scheme based on a special preamble for supporting emergency alarms

  • Author

    Taehoon Kim ; Kab Seok Ko ; Inkyu Bang ; Dan Keun Sung

  • Author_Institution
    Dept. of Electr. Eng., KAIST, Daejeon, South Korea
  • fYear
    2014
  • fDate
    6-9 April 2014
  • Firstpage
    1768
  • Lastpage
    1773
  • Abstract
    In emergency situations such as a disaster and a blackout, machine nodes should report emergency alarms, including the disaster type and disaster area to an M2M server. When many related machine nodes attempt a random access (RA) to report emergency alarms, and this may cause a physical random access channel (PRACH) overload. In this case, the machine nodes hardly access the network within a given delay requirement of emergency alarms. In this paper, we propose a novel random access scheme based on a special preamble for emergency indication in an emergency situation and adaptively reserve more PRACH resources in proportion to the number of machine nodes using the special preamble. The proposed RA scheme outperforms the conventional RA scheme in terms of access delay and can accommodate much more machine nodes in emergency situations, compared with the conventional RA scheme.
  • Keywords
    alarm systems; cellular radio; emergency management; wireless channels; M2M server; PRACH overload; RA scheme; access delay; cellular network; disaster area; emergency alarm supporting; emergency situation; machine node; machine-to-machine server; physical random access channel overload; random access scheme; special preamble; Analytical models; Delays; Machine-to-machine communications; Optimization; Probability; Radiation detectors; Vectors; Machine-to-Machine; PRACH overload; emergency; preamble; random access;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2014 IEEE
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/WCNC.2014.6952517
  • Filename
    6952517