A Novel Approach for Controlling Mobile Data Offloading Between 3GPP and Non-3GPP Access Networks

Mobile network traffic is growing rapidly, and service providers must manage their networks efficiently to meet consumer demand. Mobile data offloading is the use of complementary network technologies for delivering data originally targeted for cellular networks. Access network discovery and selection function (ANDSF) is the most complete 3GPP approach to date for controlling offloading between 3GPP (such as HSPA or LTE) and non3GPP access networks (such as Wi-Fi or WIMAX). The purpose of the ANDSF is to assist user devices to discover access networks in their vicinity and to provide rules (policies) to prioritize and manage connections to all networks. In this paper, we propose a new ANDSFassisted Wi-Fi regulator method based on end user’s high-level motion states, such as driving ,walking, and recognizing whether the user is motionless or not, to avoid unnecessary Wi-Fi scanning and connections. The client-based Wi-Fi connection manager, which performs cyclic Wi-Fi scanning, is compared with the proposed method. According to the performance results, the proposed method shows significant performance enhancement in terms of efficient Wi-Fi control and connectivity with 3G and Wi-Fi. Keywords-component; ANDSF, Mobile Data offloading, LTE, Handover, Wi-Fi,WIMAX