• DocumentCode
    717989
  • Title

    Fuzzy logic based mobile data offloading

  • Author

    Hosseini, S.M. ; Kazeminia, M. ; Mehrjoo, M. ; Barakati, S.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Sistand & Baluchestan, Zahedan, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    397
  • Lastpage
    401
  • Abstract
    Mobile Data Offloading (MDO) has been recently proposed as a practical response to the ever increasing demand of data communications through cellular networks. MDO directs part of the data traffic through a secondary network to reduce the cellular data traffic load. In this paper, two offloading methods are proposed which utilize link delay and Signal-to-Noise Ratio (SNR) as decision criteria to determine the offloading ratio. Considering Wi-Fi as the alternative network, the first method compute a weighted average of two offloading ratio based on link delay and SNR, while the second method relies on fuzzy combination of relative link delays and SNR. The major advantage of the proposed methods is their simplicity which makes them practically attractive and easy to implement. Computer simulations provide illustration for the applicability of the proposed methods.
  • Keywords
    cellular radio; fuzzy logic; radio links; telecommunication traffic; wireless LAN; MDO; SNR; Wi-Fi; cellular data traffic load. reduce; cellular network; data communication; decision criteria; fuzzy logic based mobile data offloading; link delay utilization; link delays fuzzy combination; secondary network; signal-to-noise ratio; Conferences; Decision support systems; Electrical engineering; Cellular Networks Congestion; Fuzzy Logic; Mobile Data Offloading; Wi-Fi;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146247
  • Filename
    7146247