International Journal of Scientific Research and Engineering Development

International Journal of Scientific Research and Engineering Development


( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175

IJSRED » Archives » Volume 8 -Issue 5


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📑 Paper Information
📑 Paper Title Navigating The 5G Terrain: A Comparative Review of Machine Learning Models for Coverage Prediction
👤 Authors Bairy Sai Ganesh, N.Naveen Kumar
📘 Published Issue Volume 8 Issue 5
📅 Year of Publication 2025
🆔 Unique Identification Number IJSRED-V8I5P15
📝 Abstract
The advancement of wireless communication technologies has positioned fifth-generation (5G) networks as a cornerstone for delivering high-speed data transmission, ultra-low latency, and uninterrupted connectivity. Unlike earlier generations, 5G is designed to accommodate a vast number of connected devices, support intelligent applications, and enable real-time information exchange. This expanded scope requires meticulous network design and optimization. One of the most crucial aspects of this process is coverage prediction, which plays a vital role in maintaining consistent service quality and optimizing network resource allocation. Accurate coverage forecasting aids service providers in the effective placement of base stations, reduces coverage gaps, and improves overall service performance.