Self-optimizing Neighbor Cell List for UTRA FDD Networks Using Detected Set Reporting

This paper examines the possibility of using detected set reporting by mobile stations for automated neighbor cell lists performance improvement. An efficient optimization procedure is presented. This includes a model for predicting performances of detected cells as if they were included in the neighbor lists. The proposed algorithm for automated optimization of neighbor lists was validated by means of trialing in a live WCDMA network. Experimental results showed the described approach to be a feasible solution for self-optimizing 3G radio access networks. In fact, the method makes it possible to identify essential missing neighbors and operating expenditures are dramatically reduced with respect to walk/drive testing.