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Real-Time RIC/RAN Intelligent Controller: A Software Component for Open RAN Architecture

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  • Imran Khan

Abstract

This research article explores the role and significance of Real-Time RIC (RAN Intelligent Controller) in the context of Open RAN architecture. Open RAN represents a paradigm shift in the telecommunications industry, aiming to disaggregate and virtualize network functions to promote interoperability, flexibility, and innovation. The Real-Time RIC, as a pivotalsoftware component within Open RAN, plays a crucial role in orchestrating and optimizing radio resources in real-time. This article delves into the functionalities, architecture, and implementation considerations of the Real-Time RIC, highlighting its capabilities in enabling dynamic network optimization, intelligent traffic steering, and efficient resource utilization. Furthermore, the article discusses the challenges and opportunities associated with deploying Real-Time RICs in diverse network environments, emphasizing the need for standardization, interoperability, and performance optimization. Through a comprehensive analysis, this research article aims to provide insights into the design, deployment, and impact of Real-Time RICs in advancing the evolution of Open RAN architectures.

Suggested Citation

  • Imran Khan, 2024. "Real-Time RIC/RAN Intelligent Controller: A Software Component for Open RAN Architecture," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 207-216.
    • Handle: RePEc:das:njaigs:v:2:y:2024:i:1:p:207-216:id:107
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    References listed on IDEAS

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    1. José Gabriel Carrasco Ramírez & Md.mafiqul Islam, 2024. "Application of Artificial Intelligence in Practical Scenarios," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 14-19.
    2. Jeff Shuford, 2024. "Interdisciplinary Perspectives: Fusing Artificial Intelligence with Environmental Science for Sustainable Solutions," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1), pages 106-123.
    3. Md.mafiqul Islam, 2024. "Artificial Intelligence Exploring Its Applications across Industries," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 20-24.
    4. Nicolas Guzman Camacho, 2024. "Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 106-115.
    5. Mithun Sarker, 2024. "Revolutionizing Healthcare: The Role of Machine Learning in the Health Sector," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 36-61.
    6. Dr. José Gabriel Carrasco Ramírez. & Md.Mafiqul Islam & ASM Ibnul Hasan Even, 2024. "Machine Learning Applications in Healthcare: Current Trends and Future Prospects," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1).
    7. Harish Padmanaban, 2024. "Revolutionizing Regulatory Reporting through AI/ML: Approaches for Enhanced Compliance and Efficiency," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 71-90.
    8. Nicolas Guzman Camacho, 2024. "Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 91-100.
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