AI Solutions for Complex Communication Network Challenges

AI Solutions for Complex Communication Network Challenges

Rajesh Kanna Rajendran (Christ University, India), T. Mohana Priya (Christ University, India), and N. R. Wilfred Blessing (University of Technology and Applied Sciences, Ibri, Oman)
Copyright: © 2025 | Pages: 14
DOI: 10.4018/979-8-3693-6552-6.ch003

Abstract

As communication networks balloon in size and complexity, managing them effectively becomes a monumental task. This chapter explores how Artificial Intelligence (AI) offers a powerful toolkit for tackling the intricate challenges faced by these systems. By leveraging machine learning, deep learning, and neural networks, AI can significantly enhance network performance, optimize resource allocation, and bolster security. Outlining the major hurdles plaguing modern communication networks, such as scalability limitations, latency issues, congestion bottlenecks, and ever-evolving cybersecurity threats. The chapter also acknowledges the ethical considerations and potential risks associated with AI deployment, emphasizing the need for responsible practices. Ultimately, this chapter provides a comprehensive perspective on how AI can become the cornerstone of resilient and efficient communication networks, paving the way for future advancements in this critical field.
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