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

IF 34.4 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Communications Surveys and Tutorials Pub Date : 2026-02-03 DOI:10.1109/COMST.2026.3660649

Mira Chandra Kirana;Patatchona Keyela;Fatemeh Rostamian;Deemah H. Tashman;Soumaya Cherkaoui

引用次数: 0

Abstract

As wireless communication systems become more advanced, Open Radio Access Networks (O-RAN) stand out as a notable framework that promotes interoperability and cost-effectiveness. An examination of the progression of RAN architectures, as well as O-RAN’s underlying principles, reveals the importance of machine learning (ML) in addressing various challenges, including spectrum management, resource allocation, and security. Hence, this survey provides a comprehensive overview of the integration of ML within O-RAN, highlighting its transformative potential in enhancing network performance and efficiency. This survey aims to describe the current status of ML applications in O-RAN while indicating possible directions for future research by analyzing existing literature. The findings aim to assist researchers and stakeholders in formulating optimal service strategies and advancing the understanding of intelligent wireless networks.

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支持ml的开放RAN：对架构、挑战和机遇的全面调查

随着无线通信系统变得越来越先进，开放无线接入网络（O-RAN）作为促进互操作性和成本效益的显著框架脱颖而出。对RAN架构的发展以及O-RAN的基本原理的研究揭示了机器学习（ML）在解决各种挑战（包括频谱管理、资源分配和安全性）方面的重要性。因此，本调查全面概述了机器学习在O-RAN中的集成，强调了其在提高网络性能和效率方面的变革潜力。本调查旨在通过分析现有文献，描述机器学习在O-RAN中的应用现状，并指出未来可能的研究方向。研究结果旨在帮助研究人员和利益相关者制定最佳服务策略，促进对智能无线网络的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

80.20

自引率

2.50%

发文量

审稿时长

6 months

期刊介绍： IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.