Considering Fading Effects for Vertical Handover in Heterogenous Wireless Networks

TL;DR

This paper introduces a realistic model for vertical handover in heterogeneous wireless networks that accounts for shadow fading effects, improving decision accuracy for seamless connectivity.

Contribution

It presents a novel coverage model incorporating shadow fading effects, enhancing pre-handover decision processes in heterogeneous environments.

Findings

The proposed model accurately predicts WLAN coverage considering fading effects.

Simulations validate improved handover decision performance over existing models.

Results show better QoS maintenance during handovers.

Abstract

Over the years, vertical handover has attracted the interest of numerous researchers. Despite the attractive benefits of integrating different wireless platforms, mobile users are confronted with the issue of detrimental handover. As a mobile node (MN) moves within a heterogeneous environment, satisfactory quality of service (QoS) is desired by ensuring efficient vertical handover. This demands not only the efficient execution of vertical handover, but also optimized pre-handover decisions, such as: handover necessity estimation (HNE), handover triggering condition estimation (HTCE) and handover target selection (HTS). The existing works on HNE and HTCE optimization considered the coverage region of a point of attachment to be circular, ignoring the fading effect. This paper considers the effect of shadow fading and used extensive geometric and probability analysis in modelling the coverage area of a WLAN cell. Thus, presents a realistic and novel model with an attempt to ensure optimal handover as a mobile node (MN) traverses a heterogeneous wireless environment. Monte-Carlo simulations were carried out to show the behavior of the proposed models. Results were validated by comparing the proposed models with existing works.