29, December 2025

Artificial Intelligence and Machine Learning for Future Telecom Networking

VOLUME-11; ISSUE-12; DEC-2025

Author(s): 1 Syed Anwarul Haque, 2 Saeed M Yami, 3 Syed Azfarul Haque, 4 Vipul Thoma

Authors Affiliations:

1Business System Analyst, Gas Compression Projects Department, Saudi Aramco, Saudi Arabia

syedanwarulhaque@gmail.com

2Supervisor Project Engineer, Gas Compression Projects Department, Saudi Aramco, Saudi Arabia

saeed.yami.5@aramco.com

3 OSP-Backbone Technician, Area IT Department, Haradh IT Backbone Support Group, Saudi Aramco, Saudi Arabia

Vipsvt654@gmail.com

DOIs:10.2015/IJIRMF/202512008     |     Paper ID: IJIRMF202512008


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Abstract:  The Artificial Intelligence and Machine Learning is taking its place in every field. Telecom networking is digitally transforming by utilization Artificial Intelligence and Machine Learning. Smart Telecom networking is incorporating different AI and ML methods to influence future network designs by selecting best standard practices in designing, correct materials selection, considering the requirements of data security, larger bandwidth, fast and real-time data transmission with ultra-low latency and high throughput factors, better power and traffic congestion and power load calculations with optimized energy consumption and at lower operational costs.  By utilization of advance algorithms and machine learning techniques, AI offers better and optimized network performance, enhanced data processing efficiency, and enabled smart decision-making process. The finding shows that AI driven methodologies creating reduction in operational cost and improvement in productivity. The telecom industry is shifting from reactive to predictive and proactive approach in network designs by utilizing Generative AI, Causal inference and federated learning. These advanced systems can maximize infrastructure utilization and regulate data flow by continuous learning and adaptation. The AI and machine learning is pushing us towards proactive, self-aware, self-adaptive, predictive telecom networking. This technical paper is analysing the utilization of Artificial Intelligence and Machine Learning for easy telecom networking in future. Utilization of AI/ML will revolutionize modern telecom networking and connectivity designs.      
Key Words:  Software-Defined Network (SDN), Network Function Virtualization, Fog Networking, Network Slicing, Traffic management, cyber security, Network Intelligence, Intent Driven Network, Network AI, Self-Optimizing Networks (SONs)

Syed Anwarul Haque,  Saeed M Yami,  Syed Azfarul Haque, Vipul Thomas (2025); Artificial Intelligence and Machine Learning for Future Telecom Networking, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-12, Pp.50-68.          Available on –   https://www.ijirmf.com/

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