A Movement based Algorithm for Determining Handoff in Heterogeneous Wireless Networks PDF

Keywords

Heterogeneous wireless systems; Pathloss; Handoff or handover; SNR.

Abstract

The Next Generation wireless networks generally called 4G Networks will most likely be actualized by the Integration of present day available heterogeneous wireless networks. Integration of these networks will largely depend on the process of vertical handoff. Vertical handoff occurs when an active communication session is transferred between different radio access technologies. An efficient assessment system is essential for appropriate network selection.Unlike horizontal handoff, vertical handoff only takes place in cell edges. There are many other factors that should be considered for a proper vertical handoff i.e., triggering factor, critical factor and influencing factors. For that an efficient assessment system is essential for appropriate network selections. The vertical handover problem has been becoming increasingly interesting due to its practical value. The convergence of heterogeneous wireless access technologies characterizes the 4G wireless networks. In such systems the seamless and efficient handoff between different access technologies is essential and remains a challenging problem. This paper presents a Movement based algorithm (MBA) for determining handoff in heterogeneous wireless networks. Our algorithm addresses to cellular as well as broadband mix systems for randomly generated users. Our algorithm determines pathloss, throughput and signal-tonoise- ratio (SNR) between randomly generated users, Access points (APs) and Base stations (BS). The proposed method is well suited for networks systems, it eliminates the rigorous mathematical expressions and its design is simple and straightforward.The main goal of our algorithm is to enhance or improve the system performance in terms of higher throughput for the required networks (BWN and WiMax). Simulation work has been carried out in the MATLAB environment. Simulation results significantly outperform the existing algorithms. We haven’t used any MATLAB toolbox. In fact we developed our own simulation platform in MATLAB. Simulation results confirm that our algorithm improves higher throughput by 14.8 % compared to other existing approaches.