A Generalized Framework for Multi-RAT Scenarios Characterisation

This paper proposes a novel approach for developing common radio resource management (CRRM) algorithms in heterogeneous wireless scenarios. It is based on a new indicator, denoted as fittingness factor, which reflects the suitability of allocating a given RAT and cell to a user depending on the service and on the terminal and network capabilities. Simulation results reveal that the proposed approach is able to capture the different terminal and service heterogeneities and obtains better performance than other approaches existing in the literature.