ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities

Mira Chandra Kirana, Patatchona Keyela, Fatemeh Rostamian, Deemah Tashman and Soumaya Cherkaoui

Article (2026)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/72400/
Journal Title:	IEEE Communications Surveys & Tutorials (vol. 28)
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/comst.2026.3660649
Official URL:	https://doi.org/10.1109/comst.2026.3660649
Date Deposited:	10 Feb 2026 09:19
Last Modified:	02 Apr 2026 11:05

Cite in APA 7:	Kirana, M. C., Keyela, P., Rostamian, F., Tashman, D., & Cherkaoui, S. (2026). ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities. IEEE Communications Surveys & Tutorials, 28, 4948-4979. https://doi.org/10.1109/comst.2026.3660649
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