A Novel Frequency Management Methodology for WCDMA using Statistical Coupling Matrices

Future wireless systems are expected to endure significant increase in cell loads as well as non-uniform distribution of the traffic over cells. Hence, interference profiles are subject to high increases that can highly affect interference limited systems. The allocation of several frequencies to each operator in 3G systems presents new dimensions to reduce interference patterns by the use of intelligent frequency management methodologies. However, the frequency management problem has not been sufficiently studied for WCDMA systems due to the fact that WCDMA has not yet been implemented in wide range with all possible services. Nevertheless, the arrival of multimedia services will emphasize the critical importance of a smart frequency allocation. Herein, we introduce a novel frequency management methodology based on statistical coupling matrices that reflect the interaction between cells for a given interference pattern. The proposed methodology is implemented as an integral task of the planning tool and has lead to better results than the frequency allocation in the classical hierarchical cell structure.