• DocumentCode
    3577329
  • Title

    Coverage Enhancement of Smart Grid Communication Systems with Binary Coding

  • Author

    Saha, Himadri Subrah ; Roy, Rakhi

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taipei Univ., Taipei, Taiwan
  • fYear
    2014
  • Firstpage
    610
  • Lastpage
    613
  • Abstract
    This is predicted by the researchers that smart grid will replace the traditional electric power grid within next decade. This can be used to enhance efficiency, sensing and metering technologies. A pervasive communication infrastructure is a part and parcel for the flawless development of smart grid. One of the main issues for the deployment of the communication system for smart devices in a smart grid communication system is the high data rate and the service coverage. Binary coding has already been a proven technique to extend the cellular communication coverage by recovering lost native packets. In order to enhance the coverage area in smart grid communication systems, we propose a cellular infrastructure with binary coding. We also explain the suitability of using the binary codebook in smart grid communication and how it can upgrade the system performance. Simulation results show that using binary coding we can serve more users which results in increase in the coverage area of the smart grid communication system.
  • Keywords
    binary codes; cellular radio; smart power grids; binary codebook; binary coding; cellular communication; cellular infrastructure; coverage enhancement; data rate; electric power grid; metering technologies; pervasive communication infrastructure; smart grid communication systems; system performance; Encoding; Network coding; Performance evaluation; Smart grids; Smart meters; Wireless communication; Binary Coding; Communication System; Coverage Enhancement; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
  • Print_ISBN
    978-1-4799-5967-9
  • Type

    conf

  • DOI
    10.1109/iThings.2014.104
  • Filename
    7059730