Handover procedure using probability based mobility patterns in 3G-WLAN interworking environment

With the projected increase of 3G network traffic in near future, telecom operators are looking for the alternative means of satisfying the data needs of mobile subscribers without scaling the existing 3G network infrastructure. Over the last decade, IEEE 802.11 network (better called as Wi-Fi network) has emerged as one of the most competitive technology for it. It can function with the macro cellular network, as an adjunct network, to provide an alternative path with the best performance capability. On the other hand, several studies have reported the discovery of fundamental statistical features of human mobility. Studies show that human trajectories show a high degree of temporal and spatial regularity, thus following simple reproducible patterns. This paper proposes a probability based approach to find the mobility patterns of users and then use the information to effectively decrease the handover latency and increase throughput.