• DocumentCode
    2511356
  • Title

    Link quality prediction for wireless devices with multiple radios

  • Author

    Duan, Qiuyi ; Wang, Lei ; Knutson, Charles D. ; Zappala, Daniel

  • Author_Institution
    Comput. Sci. Dept., Brigham Young Univ., Provo, UT
  • fYear
    2008
  • fDate
    23-26 June 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Communication between wireless devices ought to be as simple as possible; they should be able to seamlessly switch between different radios and network stacks on the fly in order to better serve the user. To make this a possibility, we consider the challenging problem of predicting link quality in a changing mobile environment. In this paper we present an algorithm that uses Weighted Least Squares Regression to predict whether a given link can meet application requirements in terms of throughput, delay, and jitter. We use a simulation study to demonstrate that our algorithm is able to predict link quality accurately and stably in a frequently changing mobile environment. The prediction algorithm is more accurate than several alternative algorithms, and the overhead caused by the link measurements is negligible in terms of throughput and power consumption.
  • Keywords
    jitter; least squares approximations; mobile radio; radio links; regression analysis; jitter; link quality prediction; mobile radio; weighted least squares regression method; wireless device; Communication switching; Delay; Jitter; Least squares methods; Power measurement; Prediction algorithms; Predictive models; Switches; Throughput; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks, 2008. WoWMoM 2008. 2008 International Symposium on a
  • Conference_Location
    Newport Beach, CA
  • Print_ISBN
    978-1-4244-2099-5
  • Electronic_ISBN
    978-1-4244-2100-8
  • Type

    conf

  • DOI
    10.1109/WOWMOM.2008.4594869
  • Filename
    4594869