• DocumentCode
    1758244
  • Title

    Coded random access: applying codes on graphs to design random access protocols

  • Author

    Paolini, Enrico ; Stefanovic, Cedomir ; Liva, Gianluigi ; Popovski, Petar

  • Author_Institution
    Univ. of Bologna, Bologna, Italy
  • Volume
    53
  • Issue
    6
  • fYear
    2015
  • fDate
    42156
  • Firstpage
    144
  • Lastpage
    150
  • Abstract
    The rise of machine-to-machine communications has rekindled interest in random access protocols as a support for a massive number of uncoordinatedly transmitting devices. The legacy ALOHA approach is developed under a collision model, where slots containing collided packets are considered as waste. However, if the common receiver (e.g. base station) is able to store the collision slots and use them in a transmission recovery process based on successive interference cancellation, the design space for access protocols is radically expanded. We present the paradigm of coded random access, in which the structure of the access protocol can be mapped to a structure of an erasure-correcting code defined on a graph. This opens the possibility to use coding theory and tools for designing efficient random access protocols, offering markedly better performance than ALOHA. Several instances of coded random access protocols are described, as well as a case study on how to upgrade a legacy ALOHA system using the ideas of coded random access.
  • Keywords
    access protocols; codes; interference suppression; ALOHA approach; ALOHA system; base station; coded random access; coding theory; collision model; erasure-correcting code; machine-to-machine communications; random access protocols; receiver; successive interference cancellation; transmission recovery process; Access protocols; Bipartite graph; Channel coding; Decoding; Receivers; Silicon carbide; Throughput;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7120031
  • Filename
    7120031