Optimal resource allocation scheme in femtocell networks using Bacterial Foraging Optimization

The femtocell network has currently been considered as one of the most promising networking technologies. Nevertheless, due to dense deployment, interference generated by nearby femto base station (FBS) is expected to significantly degrade the signal to interference plus noise ratio (SINR) of femto users (FUEs). Ineffective resource block combination is one of the culprits behind the reduction in performance of each FUE. Therefore, appropriate resource block allocation becomes critical in reducing interference while improving SINR, resulting in better system performance. Bacteria Foraging Optimization (BFO) is proposed to select the most appropriate combination of resource block for FUE, leading to the decrease in the amount of interference in femtocell network. The simulation results illustrate that the proposed algorithm is capable of enhancing the SINR in comparison with random allocation scheme.