2014/12/05 by Babatunji Omoniwa, Omoniwa Babatunji, Babatunji, Omoniwa
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #IPv6, Mobility, Handover, Networks, Security #Networking and Internet Architecture (cs.NI) #Wireless Networks and Protocols #cs.NI
paper · pdf · doi:10.48550/arxiv.1412.2161
This work is the Thesis of Omoniwa Babatunji submitted to COMSATS Institute of Information Technology as partial fulfillment of the requirement for the award of MS in Computer Engineering
arxiv created 2014/12/05 · openalex publication_date 2014/12/05 · arxiv updated 2014/12/09 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
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.