Explainability-Aware Performance Analysis of AI-Driven Signal Processing in  Communication Networks

Gurpreet Singh,Jasleen Kaur Bains, Neeru Mago

Explainability-Aware Performance Analysis of AI-Driven Signal Processing in Communication Networks

Authors

Gurpreet Singh,Jasleen Kaur Bains, Neeru Mago

Keywords:

Explainable Artificial Intelligence; Signal Processing; Communication Networks; Modulation Classification; Trustworthy AI; Robustness Analysis; Quantitative Performance Evaluation

Abstract

Artificial intelligence (AI) has become integral to signal processing in modern communicationnetworks; however, the black-box nature of deep learning models raises concerns regarding reliability, interpretability, and trustworthiness in noise-intensive environments

References

Mao, Y., You, C., Zhang, J., Huang, K. and Letaief, K.B., 2017. A survey on mobile edge computing: The communication perspective. IEEE Communications Surveys & Tutorials, 19(4), pp.2322–2358

Downloads

Published

2021-05-15

How to Cite

Gurpreet Singh,Jasleen Kaur Bains, Neeru Mago. (2021). Explainability-Aware Performance Analysis of AI-Driven Signal Processing in Communication Networks. Journal of Computational Analysis and Applications (JoCAAA), 29(5), 1027–1052. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4656