Proper

Abstract

Load balancing is a major issue in the next generation network to provide guaranteed QoS. The introduction of Heterogeneous network (HetNets) is a major advancement in both Long Term Evolution (LTE) and LTE-Advanced (LTE-A) that addresses the above issue. Cell Range Expansion (CRE) is a promising scheme suggested by 3GPP standard to enable User Equipment (UEs) offloading from macro to pico cells. However, improper offloading may lead to degradation in QoS. Hence, it becomes necessary to perform dynamic Cell Range Expansion. In the proposed research, focus is laid on the impact of Bio- inspired optimization algorithms such as Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC). Initially, a simulation study is made using BWSIM software to understand the homogenous and heterogeneous network behavior under varied environmental conditions. From the results obtained, it is onserved that better QoS is achieved when placing maximum of two picocells per sector of the macro cell. Performance of both ACO and ABC algorithms in terms of accuracy and computation time is analyzed for traffic scalability. From the analysis, it is found that under heavy mobile traffic environment ABC Optimization algorithms outperform Ant colony optimization.