Programmable policies for data offloading in LTE network

Mobile data offloading on smaller cells such as Wi-Fi comes as a natural solution to boost cellular networks capacity and keep up with the rapid increase of mobile data traffic demand. In this paper, we propose an offloading mechanism through the abstraction of Software-defined Networking (SDN) in the mobile backhaul to provide programmable offloading policy derivation that are aware of users and applications as well as the condition of wireless network. The proposed mechanism considers the real-time network condition to derive the offloading policies and efficiently accommodate the traffic in both LTE and Wi-Fi networks. Numerical results prove that the proposed approach can significantly improves dropping rate of the incoming traffic with using more real-time and dynamic decisions for offloading.

[1]  Telemaco Melia,et al.  IP flow mobility: smart traffic offload for future wireless networks , 2011, IEEE Communications Magazine.

[2]  Kyunghan Lee,et al.  Mobile data offloading: how much can WiFi deliver? , 2010, SIGCOMM 2010.

[3]  Giuseppe Piro,et al.  Simulating LTE Cellular Systems: An Open-Source Framework , 2011, IEEE Transactions on Vehicular Technology.

[4]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[5]  T. Taleb,et al.  Traffic Offload Enhancements for eUTRAN , 2012, IEEE Communications Surveys & Tutorials.

[6]  Jennifer Rexford,et al.  Toward Software-Defined Cellular Networks , 2012, 2012 European Workshop on Software Defined Networking.

[7]  Aravind Srinivasan,et al.  Mobile Data Offloading through Opportunistic Communications and Social Participation , 2012, IEEE Transactions on Mobile Computing.

[8]  Hamid Aghvami,et al.  A survey on mobile data offloading: technical and business perspectives , 2013, IEEE Wireless Communications.