Optimal cell selection scheme in Femtocell networks using bacterial foraging optimization algorithm

Abstract

In dense deployment area of femtocell networks, interference becomes major problem normally decreasing signal to interference plus noise ratio (SINR) of connection between Femto User Equipment (FUE) and Femto Base Station (FBS). Thus, FUE must select appropriate FBS to get high SINR value in order for achieving high data rates. In this paper, we investigate cell selection process in Femtocell networks and problem related to interference. We propose cell selection method using bacterial foraging optimization algorithm (BFOA) to find the most appropriate FBS and resource blocks (RBs) for FUE. Simulation results show that proposed method has capability to converge in finding the best solution, i.e. FBS and RBs that will provide high link capacity for FUE.