Applications of Artificial Intelligence for Telecom Signal Processing

Authors

  • G. Peng, N. Leung, R. Lechowicz Author

DOI:

https://doi.org/10.31838/

Keywords:

Artificial Intelligence; Telecom Signal Processing; Machine Learning Algorithms; Data Transmission Optimization; Neural Networks

Abstract

Artificial Intelligence (AI) convergence and signal processing are changing the way Telecommunications work and it is happening now as the industry is undergoing a paradigm shift towards the new era of better efficiency and reliability, and better innovation. Through AI powered signal processing techniques, next generation telecommunications systems are emerging as key enablers of faster, more reliable communication networks as demand continues to grow. In this article, we explore how AI is changing the signal processing for telecommunication networks to reduce network performance and enable new application/services. Telecommunications have long relied on signal processing to transmit, receive and manipulate information carrying signals. At present, the analysis and modification of signals has been traditionally done using mathematical models and algorithms. While conventional methods still work great for basic communication networks, increasing complexity of modern networks, and exponential growth of data, have overwhelmed conventional methods.

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Published

2025-03-18

Issue

Section

Articles