A Probability-based Location Management Strategy for the Next Generation Communication Systems

The personal communication service (PCS) is a system that aims to allow for communication anywhere in the world. PCS networks support mobile terminals (MTs) that are free to travel, and the network access point of an MT changes as it moves around the network coverage area. As a result, location management is important to effectively keep track of mobile terminals with reduced signal flows and database queries. Several methods have been suggested to improve the efficiency of location management strategy. Among them, the distance-based scheme has been proved to have less mobility management cost than the others. However, the configuration of registration areas (RAs) for an MT needs to be matched with user’s movement behavior, street layout, and local topology. Thus, we propose a probability-based location management strategy. In the scheme, the shape of each RA of an MT is individually and dynamically tailored to match the user’s movement and the surrounding geographic conditions. Transition probability matrix is used to implement the proposed strategy. The numerical results demonstrate that the proposed scheme can significantly reduce mobility management cost compared to the distance-based strategy.