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Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges

📅 January 1, 2023 👤 Michele Polese, Leonardo Bonati, Salvatore D’Oro et al. 📖 IEEE Communications Surveys & Tutorials 📊 866 citations

🤖 Plain-English Summary

The Open Radio Access Network (RAN) and its embodiment through the O-RAN Alliance specifications are poised to revolutionize the telecom ecosystem. Based on this, we discuss innovations and challenges of O-RAN networks, including the Artificial Intelligence (AI) and Machine Learning (ML) workflows that the architecture and interfaces enable, security, and standardization issues.

🔑 Key Findings

  • O-RAN promotes virtualized RANs where disaggregated components are connected via open interfaces and optimized by intelligent controllers.
  • The result is a new paradigm for the RAN design, deployment, and operations: O-RAN networks can be built with multivendor, interoperable components, and can be programmatically optimized through a centralized abstraction layer and datadriven closed-loop control.
  • Therefore, understanding O-RAN, its architecture, its interfaces, and workflows is key for researchers and practitioners in the wireless community.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 01, 2023
Journal IEEE Communications Surveys & Tutorials
Authors Michele Polese, Leonardo Bonati, Salvatore D’Oro, Stefano Basagni, Tommaso Melodia
DOI 10.1109/comst.2023.3239220
Citations 866
Source OpenAlex

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