In this paper, we propose mathematical models to evaluate the performances of the interference remediation technique eICIC/ABS (enhanced Inter- Cell Interference Coordination / Almost Blank Sub-frame) in the context of Heterogeneous Cloud based Radio Access Networks (H-CRAN) architecture and 5G networks. The objective is to propose a dynamic resource management tool to ease decisions on the activation/deactivation of micro cells as well as for the distributions of sub-frames among macro and micro cells. First, we propose a Markov chain based model that fits the behavior of the considered scheme and allows the analysis of the cell throughput according to traffic load, radio conditions and the distribution of available resources among macro and micro cells. Then, we propose an approximation model with a closed form formula. The two models are validated and evaluated in terms of accuracy and computation time. Numerical results are compared to Matlab simulations reproducing realistic radio conditions. Results show that both models are accurate, while the closed form approximation is less complex and provides faster results