What question did this study set out to answer?

The aim is to develop an AI-based system for managing network traffic in telecommunications to enhance efficiency.

July 5, 2026

AI-Based Smart Network Traffic Management System for Telecommunication

Key Points

The aim is to develop an AI-based system for managing network traffic in telecommunications to enhance efficiency.
Utilized artificial intelligence and machine learning to analyze traffic patterns.
Predicted congestion probabilities for better resource allocation.
Compared AI-based system with traditional management approaches.
Significant improvements in network efficiency over traditional methods.
Reduced congestion and latency, leading to enhanced quality of service metrics.

Abstract

The telecommunication industry is experiencing rapid growth due to 5G, the Internet of Things (IoT), and an increasing number of internet users. This surge in network traffic introduces challenges like congestion, latency, packet loss, and poor Quality of Service (QoS). Traditional, rule-based traffic management systems are insufficient for dynamic conditions. This study presents an AI-Based Smart Network Traffic Management System that utilizes Artificial Intelligence and Machine Learning (ML) to analyze patterns, predict congestion probability, and optimize network resource allocation, significantly improving network efficiency over traditional approaches.

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