Journal article Open Access

Handoff using Machine Learning Techniques

P. Sai Krishna; K. Sai Harsha Vardhan Reddy; K. Srikar; Dr. Gobinda Prasad Acharya; DR. Rama Swamy

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.

Files (394.9 kB)
Name Size
IJISRT22MAR537 (1).pdf
md5:9a8375ac771e69317bc43568b8b76a43
394.9 kB Download
42
25
views
downloads
All versions This version
Views 4242
Downloads 2525
Data volume 9.9 MB9.9 MB
Unique views 3737
Unique downloads 2424

Share

Cite as