Improving Service Quality with Artificial Intelligence in Broadband Networks

Shashishekhar Ramagundam, Dinesh Patil and Niharika Karne

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 6, 435-444

Abstract: Advanced optimization techniques become necessary due to the fast-expanding broadband networks to deliver high-quality service. This research evaluates Artificial Intelligence (AI) methods to improve broadband service quality through definitions of essential Quality of Service (QoS) metrics and the creation of an AI-based optimization system. The research consists of examining three distinct machine learning models which include Support Vector Machines (SVM) along with Random Forests (RF) and K-Nearest Neighbors (KNN) for network performance optimization. The research introduces Q-learning-based reinforcement learning as an additional approach which optimizes broadband network management by implementing real-time resource adjustments and lowering operational inefficiencies. A combination of machine learning techniques with reinforcement learning within broadband networks produces remarkable improvements in latency and jitter and throughput and packet loss together with more reliable operations and adaptive managerial capabilities. This research uses extensive study and experimental simulations to develop important findings about intelligent broadband networks which leads to AI-based self-optimizing networks of the future. Future studies aim to integrate 5G technology and edge computing with AI systems as a means to improve both the intelligence level and scalable properties of broadband networks.

Keywords: Artificial Intelligence; K-Nearest Neighbors; Quality of Service; Q-Learning; Random Forests; Support Vector Machines (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390685
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i6:id:hcseit2390685

DOI: 10.32628/CSEIT2390685

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