• views: 79
• date: 9 November 2025
• posted by: AD-TEAM

Are you looking to explore the essentials of Open Radio Access Network (ORAN)? This course covers fundamental ORAN principles, design goals, and standardization efforts by 3GPP and the O-RAN Alliance, as well as challenges compared to traditional RAN architectures. Compare traditional RAN with ORAN, examining the shift toward disaggregated RAN, 3GPP functional splits, and the role of service management and orchestration. Next, learn about the 5G NR protocol stack in ORAN, including Layer 1, Layer 2, and Layer 3 functionalities. Evaluate AI and ML applications in ORAN, such as control loops, traffic steering, and quality of experience (QoE) optimization, along with deployment via RAN Intelligent Controllers, xApps, and rApps. By the end of this course, you'll be prepared to effectively analyze, design, and manage ORAN solutions.

Learning objectives

• Define Open RAN (ORAN) and its key principles, including design goals, standardization efforts (3GPP and O-RAN Alliance), and challenges compared to traditional RAN architectures.
  
• Compare traditional RAN with ORAN, analyzing the evolution toward disaggregated RAN, 3GPP functional splits, and the role of service management and orchestration.
  
• Explain the 5G NR protocol stack in ORAN, including Layer 1 (PDCCH, PDSCH, PUCCH, and PUSCH), Layer 2 (RLC, MAC, PDCP, and SDAP), and Layer 3 (RRC) functionalities through simulations.
  
• Evaluate the role of AI and ML in ORAN, including control loops, use cases (traffic steering and QoE optimization), and deployment via RAN Intelligent Controllers (RICs), xApps, and rApps.
  
• Assess cloud-native ORAN deployment, covering O-Cloud, NFV/SDN orchestration, MEC integration, and deployment scenarios.
  

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