FFT Traffic Classification-Based Dynamic Selected IP Traffic Offload Mechanism for LTE HeNB Networks

Authors:
Xue Han;Lin Han;Yiqing Zhou;Liang Huang;Manli Qian;Jinlong Hu;Jinglin Shi
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Graduate University of Chinese Academy of Sciences, Beijing, China 100049 and Beijing Key Laboratory of Mo ...;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Graduate University of Chinese Academy of Sciences, Beijing, China 100049 and Beijing Key Laboratory of Mo ...;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Graduate University of Chinese Academy of Sciences, Beijing, China 100049 and Beijing Key Laboratory of Mo ...;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190 and Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
Venue:
Mobile Networks and Applications
Year:
2013

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Abstract

Traffic offloading is a promising technique to alleviate the traffic load in LTE core networks. Based on 3GPP "SIPTO" (Selected IP Traffic Offload) architecture, this paper proposes dynamic SIPTO mechanism (D-SIPTO) for traffic offloading in LTE HeNB networks, which combines fast fourier transform (FFT) based IP traffic classification scheme (FFTTCS) with the dynamic traffic offload path selection algorithm (DTOPSA). Simulation results show that FFTTCS can realize on-line traffic classification with similar precisions but only using less than 10 % of the time needed by existing methods. Combined with DTOPSA, the proposed D-SIPTO can reduce the core network traffic by 60 % while selecting the optimal offload path according to the type of traffic to be offloaded.