A Dual Least-Square Approach of Tuning Optimal Propagation Model for Existing 3G Radio Network

This paper provides a fast and precise dual least-square approach to tune the generally used propagation model, like COST231-Hata model, optimal for the 3G radio network which is in operation already. Different from traditional approach, using CW measured signal, this approach collects the combined pilot aggregate Ec signals of the on-air 3G radio network from different cells at different heights. The operating 3G radio network will not be disturbed while the experiments are taken. With the tuned propagation model, each cell could have its own propagation model depending on its antenna height, which is more optimal for its own propagation environment. These tuned 3G propagation models adapted for local clutter environment are extremely important in the network performance optimization process. The experiments were taking within the Banciao city. The tuned model called Banciao model has been verified in static Monte-Carlo simulation and proved to be more optimal for local environment area