Handover Optimization Scheme for 5G Heterogeneous Network

The worldwide boom in the use of wireless services has led to previously unheard-of levels of expansion for mobile connections and apps. Data traffic has increased dramatically as a result of this rise in activity, which has led to a research into solutions to meet this need. mm wave bands and very dense deployment are two of main features of fifth-generation (5G) networks. These solutions have resulted in a noticeable increase in the frequency of handovers (HOs), which has raised the incidence of dropped calls and unnecessary handovers. In order to address these problems during user mobility, it becomes imperative to optimize the control parameters associated with handovers. This research contribution provides a self-optimizing handover technique that leverages fuzzy coordination to enable smooth handovers as users move across multi-radio access networks. The suggested technique employs a fuzzy system that takes into account the S/I (signal-to-interference) plus noise ratio, cell load & user equipment speed to effectively balance the opposing requirements of mobility resilience and load balancing. The suggested approach effectively manages and optimizes mobility in a variety of mobile speed circumstances, decreasing ping-pong handovers, radio link failures, and handover delay. This is shown by simulation results. Additionally, the proposed technique greatly minimizes the outage probability when compared to other schemes discovered in the existing literature.

Authors

Publication Details

Journal
International Journal of Advanced engineering Management and Science
Published
2025-01-01
DOI
https://doi.org/10.22161/ijaems.112.5
Citations
1
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
1.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Handover Optimization Scheme for 5G Heterogeneous Network

Muhammad Rafiq
1 citations
International Journal of Advanced engineering Management and Science
Telecommunications and Broadcasting Technologies
1.14
article

Handover Optimization Scheme for 5G Heterogeneous Network

Muhammad Rafiq
article en
1 citations

Abstract

The worldwide boom in the use of wireless services has led to previously unheard-of levels of expansion for mobile connections and apps. Data traffic has increased dramatically as a result of this rise in activity, which has led to a research into solutions to meet this need. mm wave bands and very dense deployment are two of main features of fifth-generation (5G) networks. These solutions have resulted in a noticeable increase in the frequency of handovers (HOs), which has raised the incidence of dropped calls and unnecessary handovers. In order to address these problems during user mobility, it becomes imperative to optimize the control parameters associated with handovers. This research contribution provides a self-optimizing handover technique that leverages fuzzy coordination to enable smooth handovers as users move across multi-radio access networks. The suggested technique employs a fuzzy system that takes into account the S/I (signal-to-interference) plus noise ratio, cell load & user equipment speed to effectively balance the opposing requirements of mobility resilience and load balancing. The suggested approach effectively manages and optimizes mobility in a variety of mobile speed circumstances, decreasing ping-pong handovers, radio link failures, and handover delay. This is shown by simulation results. Additionally, the proposed technique greatly minimizes the outage probability when compared to other schemes discovered in the existing literature.

International Journal of Advanced engineering Management and ScienceVol. 11(2)
Openalex Percentile: Top 22%
Telecommunications and Broadcasting Technologies
1.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.