A Novel Framework for Robust WCDMA Planning under Changing Spatial Traffic Distributions

This paper proposes a novel framework for developing advanced frequency planning algorithms in WCDMA scenarios under changing traffic conditions. It is based on an analytical model that captures the influence among the different cells by means of the derivatives of the corresponding cell load factors. Then, the cells having the largest influence can be considered as candidates to operate with a different frequency. The proposed algorithm is compared by means of simulations with an algorithm based on load measurements, revealing that the proposed approach is able to capture the relevant cells more accurately