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
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;
Conference_Titel :
Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-1971-0
DOI :
10.1109/IranianCEE.2015.7146247