Development of energy-efficient model in long term evolution (LTE) network using optimum network engineering tools

Abstract

The concept of the heterogeneous network was introduced to meet the demands of the mobile network’s traffic flow capacity and data rate. It consists of dissimilar networks with diverse wireless access technologies. By convention, a Mobile Subscriber (MS) may travel and attain the vertical handover by a single criterion vertical handover decision, but, conversely, this may cause ineffective handover, unbalanced system load, and service disruption. This Thesis proposed an enhanced vertical handover optimization using multi-attribute parameters in the heterogeneous network environment consisting of 2G, 3G, Long Term Evolution-Advanced (LTE-A in 4G), and Passive Optical Network (PON). The results for vertical handover such as signal strength, service quality, handover delay, monetary price, user mobility pattern, bandwidth availability and security are linked with this project. These Key Performance Indicators (KPIs) conform with the ITU index to assess the quality of the service of mobile networks (QoS). Examples include network coverage, the integrity of service, retainability of service, availability of network and accessibility of networks. The work only includes 2g, 3g and 4g. It also expands to coverage and capacity, but, for consecutive vertical delivery services request because of time constraints, it does not cover the execution of the Algorithm.