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
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