An I-FFR algorithm for interference coordination in twin-layer femtocell networs

In LTE-A macro-femtocell networks, the dense deployment of femtocells may cause strong Inter-Cell Interference (ICI), which will lead to decrease Femto User Equipment (FUE) throughput and QoS, resulting in the degradation of the total throughput of the cell. Fractional Frequency Reuse is a conversation scheme which proves to be an efficient solutions to this problem. In this paper, we propose an Intelligent Fractional Frequency Reuse (I-FFR) algorithm for interference coordination, which combines genetic algorithm with graph-annealing algorithm to get the best CCR proportion and divides cell edge region (CER) into different clusters for the pursuit of high system throughput and low user outage probability. Simulation results show that, I-FFR algorithm can dynamically adjust the CCR proportional and reaches maximum system throughput compared to FFR-3 algorithm, and it also decreases the average outage probability of CER users from 55% to 30%.