• DocumentCode
    1607603
  • Title

    Computing Radio Paths in an Urban Environment

  • Author

    Ben-Moshe, Boaz ; Shvalb, Nir ; Shani, Moti ; Carmi, Paz ; Shifman, Elhanan

  • Author_Institution
    Ariel Univ. Center of Samaria, Ariel, Israel
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work presents a new radio paths computation frame-work especially designed for complex indoor RF field prediction. We propose a new algorithm utilizing a geometric visibility graph of a building to traverse all possible bounded radio paths. These paths are needed to compute the signal strength as received at given receiver location. We have implemented the suggested algorithm and performed a set of experiments testing the radio paths over complex buildings. The main conclusion is that the new algorithm is both (i) Accurate: predicts the signal strength within complex buildings, (ii) Runtime efficient: can compute all relevant radio paths even on relatively complex structures comprised of thousands of walls in a matter of seconds.
  • Keywords
    MIMO communication; indoor radio; radiowave propagation; MIMO technology; geometric visibility graph; indoor RF field prediction; radio path testing; receiver location; signal strength; urban environment; wireless communication; Buildings; Computational modeling; Peer to peer computing; Predictive models; RF signals; Radio frequency; Radio transmitters; Receivers; Runtime; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-5175-3
  • Electronic_ISBN
    978-1-4244-5176-0
  • Type

    conf

  • DOI
    10.1109/CCNC.2010.5421719
  • Filename
    5421719