Authors :
P. Sai Krishna; K. Sai Harsha Vardhan Reddy; K. Srikar; DR. Rama Swamy; Dr. Gobinda Prasad Acharya
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3iWoLMo
DOI :
https://doi.org/10.5281/zenodo.6406715
Abstract :
This paper demonstrates about
Implementation of Handoff Techniques through Machine
Learning Algorithms in Tele communications. A handoff
is the process of transferring an active call or data session
from one cell in a cellular network to another, or from
one channel within a cell to another. Cellular networks
are made up of cells, each of which can provide
telecommunications services to customers roaming
through the network. Each cell has a limited region and
number of subscribers it can serve. A handoff occurs
when any of these two thresholds is reached. When a
certain mobile tower's capacity is exceeded, an existing or
new call from a phone must be transferred to another cell
tower that covers the same geographical area as the
existing cell tower. A well-executed handoff is essential
for providing continuous service to a caller or data
session user. Using Machine learning algorithms. The
present methodology examines the accuracies generated
by three popular decision-making algorithms namely
Logistic Regression, Decision trees, Random Forests.
Keywords :
Handoff, roaming, cellular networks, Logistic Regression, Decision trees, Random Forests.
This paper demonstrates about
Implementation of Handoff Techniques through Machine
Learning Algorithms in Tele communications. A handoff
is the process of transferring an active call or data session
from one cell in a cellular network to another, or from
one channel within a cell to another. Cellular networks
are made up of cells, each of which can provide
telecommunications services to customers roaming
through the network. Each cell has a limited region and
number of subscribers it can serve. A handoff occurs
when any of these two thresholds is reached. When a
certain mobile tower's capacity is exceeded, an existing or
new call from a phone must be transferred to another cell
tower that covers the same geographical area as the
existing cell tower. A well-executed handoff is essential
for providing continuous service to a caller or data
session user. Using Machine learning algorithms. The
present methodology examines the accuracies generated
by three popular decision-making algorithms namely
Logistic Regression, Decision trees, Random Forests.
Keywords :
Handoff, roaming, cellular networks, Logistic Regression, Decision trees, Random Forests.
