ESP Journal of Engineering & Technology Advancements |
© 2021 by ESP JETA |
Volume 1 Issue 1 |
Year of Publication : 2021 |
Authors : Vikram Nattamai Sankaran, Dr. N. Rajkumar |
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Vikram Nattamai Sankaran, Dr. N. Rajkumar, 2021. "Wireless Network Powered by AI: A Leap towards Ultra-Connectivity" ESP Journal of Engineering & Technology Advancements 1(1): 65-82.
The integration of Artificial Intelligence (AI) into wireless networks represents a transformative leap towards achieving ultra-connectivity in the 21st century. This paper explores the groundbreaking advancements driven by AI technologies in the realm of wireless network management, highlighting their profound impact on network performance, scalability, and efficiency. Unlike traditional network management systems, AI-powered solutions leverage machine learning algorithms and predictive analytics to proactively manage network resources, enhance fault detection and resolution, and optimize traffic flow in real-time. The study delves into the novel applications of AI, including dynamic spectrum allocation, automated network optimization, and intelligent anomaly detection, which collectively address the growing demands of ultra-high-speed and low-latency connectivity. Through a comprehensive review of recent innovations and case studies, the paper demonstrates how AI enables self-healing networks, anticipates and mitigates potential disruptions, and provides unparalleled adaptability to emerging technologies such as 5G and the anticipated 6G. Furthermore, the research identifies key challenges in deploying AI-driven solutions, including data privacy concerns, model robustness, and integration with existing infrastructure. By examining these challenges, the paper proposes strategic approaches to overcoming them, thereby paving the way for seamless AI integration in future wireless networks. This work not only provides a detailed analysis of AI's current and potential roles in enhancing wireless connectivity but also sets the stage for future research directions, focusing on the convergence of AI with next-generation networking technologies. The findings underscore AI's critical role in shaping the future of ultra-connected societies and its potential to revolutionize how wireless networks are designed, managed, and experienced.
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Artificial Intelligence, Wireless Networks, Ultra-Connectivity, Machine Learning, Network Optimization, 5G, 6G, Network Management.