Dynamic Spectrum Management Methodology for WCDMA Systems Based on Inter-Cell Interaction Approach

Classical spectrum planning exercise is based on some expected spatial traffic distributions and corresponding load levels. Nevertheless, practical network deployments show that the dynamism in mobile scenarios and unpredictable changes in traffic distribution make traffic estimation severely frail. Hence, new approaches should be developed to detect the relevant changes in traffic distribution and find the adequate reaction. In this context, dynamic spectrum management methodologies would constitute a solid step forward towards innovative optimization mechanisms and cognitive networks. In this paper, we propose a novel dynamic spectrum management methodology based on inter-cell interaction approach characterized through coupling matrix properties. Simulation results for WCDMA systems have shown that the dynamic approach outperforms classical hierarchical cell structure planning.