Multi-Objective Artificial Flora Algorithm Based Optimal Handover Scheme for LTE-Advanced Networks

Abstract

Currently, the Long-Term Evolution Advanced Network (LTE-AN) has a number of benefits, including fast speed, high data rate, and low latency, but it also has significant drawbacks, including seamless connectivity and resource management. To solve these issues, an efficient handover scheme is to be presented. So, in this paper an Optimal Hand-Over scheme based on Multi-Objective Artificial Flora (OHO-MOAF) algorithm is proposed. Initially, Hand Over (HO) parameters of each evolved Node B (eNB) or base station (BS) are calculated. Then these parameters are utilized as objective functions in the proposed algorithm. Based on this algorithm, the target eNB is selected optimally. The simulation results show that the OHO-MOAF scheme outperforms the existing HO technique in terms of call blocking and call dropping with HO failure.