@article{MAKHILLJMC202115125011,
    title = {A Fuzzy Knowledge-Based System for Modeling Handoff Prediction in Mobile
Communication Networks},
    journal = {Journal of Mobile Communication},
    volume = {15},
    number = {1},
    pages = {1-19},
    year = {2021},
    issn = {1990-794x},
    doi = {jmcomm.2021.1.19},
    url = {https://makhillpublications.co/view-article.php?issn=1990-794x&doi=jmcomm.2021.1.19},
    author = {Imeh,Saviour and},
    keywords = {Adaptive Intelligence Multi-Factored Algorithm (AIMFA),fuzzy knowledge-based system and multiple criteria VHD algorithms},
    abstract = {Modeling wireless communication networks is
essential for sound decision making regarding network
planning, network optimization, resource allocation and
scheduling. In mobile networks, most commonly used
indicators to measuring handoff performance include
Received Signal Strength (RSS), signal strength from the
target base station, Handoff Latency (HL) and congestion
control of the Target base Station. Handoff plays a critical
role in wireless communication. It is a process by which
Mobile Network (MN) moves from one point of network
attachment to another. As wireless communications
technologies evolve dramatically, the recent focus has
shifted to the development of 4th-Generation (4G) mobile
systems and even 5G networks. Instead of developing a
new uniform standard for all wireless communications
systems, 4G communication networks strive to seamlessly
integrate various existing wireless communication
technologies. However, the major challenges in this
migration is to realize seamless handoffs among various
communications systems with minor handoff latency.
Indeed, maintaining seamless connectivity along with
minimizing poor Quality of Service (QoS) is one of the
major challenges in mobile networks. Nevertheless,
handoff prediction can overcome these challenges. It is
accountable for, given that seamless communication
among Base Stations (BSs) when user moves from
one cell to another. In this study, a computational
intelligence framework based on fuzzy knowledge-based
system and multiple criteria VHD algorithms is
considered. The work proposed an Adaptive
Intelligence Multi-Factored Algorithm (AIMFA) and
Multi Criteria Algorithm to predict and optimize
handoff decision. Consequently, the simulation results
show that the proposed algorithm seems to reduce the
probability of call-drops as well as unnecessary
handoffs in heterogeneous network environments. The
evaluation also shows that with Gaussian
Membership Function (GMF), the Optimized Handoff
Decision (OHD) initiates handoff efficiently for Quality
of Service (QoS) provisioning in Mobile networks.}
    }