A novel location detection service model in cellular networks

In this paper, we present a novel location detection service model on applying data correlation methods to locate mobile stations within a cellular network. In the proposed location detection algorithm, the mobile stations' signal strength values which obtained from the periodic Mobile Station measurement reports from Abis interface is used to calculate the position of Mobile Station (MS). The location detection service model is designed based on the correlation of MS measurement reports data sets and Base Station (BTS) related data sets and hence requires no additional hardware modification. The location detection platform running results were presented and compared with the real world road tests, which indicate that this novel location detection service system can provide effective information on Mobile Station's position.