Performance Modeling and Evaluation of Traffic management for Mobile Networks by SINR Prediction

TL;DR

This paper explores SINR prediction techniques to improve traffic management, congestion control, routing, and optimization in mobile networks, addressing the increasing complexity and demand of modern cellular systems.

Contribution

It introduces a novel approach to SINR prediction for enhanced traffic management and congestion control in mobile networks.

Findings

Improved SINR prediction accuracy for traffic management.

Enhanced congestion control mechanisms based on SINR insights.

Optimized routing strategies using SINR forecasts.

Abstract

Over the recent years a considerable amount of effort has been devoted towards the performance evaluation and prediction of Mobile Networks. Performance modeling and evaluation of mobile networks are very important in view of their ever expending usage and the multiplicity of their component parts together with the complexity of their functioning. The present paper addresses current issues in traffic management and congestion control by (signal to interference plus noise ratio) SINR prediction congestion control, routing and optimization of cellular mobile networks.