Multiple Parameter Dependent Dynamic Approach For Handover Decisioning In Wireless Networks

Wireless networks are designed to meet the ubiquitous demands of the customers. It has been upgraded to solve different issues. However, handover is one of the major issues which attract a significant number of researchers to find the appropriate solution. Handover is the seamless transfer of the call from one base station to another. A literature survey is carried out which delineates that various technologies such as fuzzy logic, ANN, etc have been utilized to create an intelligent system for HO decision. Some limitations from the recent study have been observed which requires being resolved. Therefore, a novel method- Multiple parameter dependent Handover decision (MPDHD) is proposed in this paper which aimed to resolve the previous limitations and attain an efficient HO process. Also a new parameter is considered in this work i.e. load. In the presented work, the dynamic scenario is considered to analyze the performance of the proposed model for dynamic conditions i.e. varying base stations and numbers of users. The simulation is then performed in MATLAB to demonstrate the performance efficiency of proposed model. The handover probability is measured for different cases of dynamic scenario and also comparison is performed with existing approaches which reveals the superiority of the proposed model over existing ones