This study examines movement-based registration (MBR). In MBR, a mobile station (MS) performs location registration whenever the number of entering cells reaches the specified movement threshold M. MBR is simple and its implementation is quite straightforward. However, it may result in more registrations than other similar schemes. We propose an improved MBR scheme, in which MBR combines with implicit registration (IR), to reduce registration cost. The performance of the proposed scheme is evaluated using a mathematical approach based on the 2-dimensional random walk mobility model in a hexagonal cell configuration. The numerical results for varying circumstances show that the proposed scheme performs better than conventional MBR.

In this study, we consider movement-based registration (MBR), improved MBR (IMBR) and distance-based registration (DBR). Analytical models based on 2-dimensional random walk in hexagonal cell configuration are considered to analyze the performance of MBR/IMBR and DBR. Especially, we focus on the derivation of the registration cost of DBR scheme by using analytical method and then show that DBR always outperforms not only MBR but also IMBR.

An efficient location management for mobile stations plays an important role in personal communication systems. The key elements of location management are location registration and paging. In this paper, we propose the improved movement-based registration method with a selective paging scheme which enables to minimize the signaling traffic such as a paging load and a registration load. For reducing the paging load, we newly establish a paging area and analyze its performance by modeling as one dimensional random walk model with a barrier state. Further, for decreasing the registration load, we also propose a new movement-based registration scheme by using a counter and a buffer which can store the number of cell boundary crossings and the cell identification, respectively. Through numerical results, we show that our proposed movement-based registration provides a better performance than the conventional movement-based registration.