Open RAN (ORAN) Architecture, Evolution, and Deployment
2h 52mIntermediate2025-10-10
Authors

Itelcotech
Course details
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.
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.
Skills covered
TelecommunicationsNetwork AdministrationNetwork and System AdministrationOne-Off
Concepts
Introduction
- Introduction to open radio access network
Open RAN Overview
- What is open RAN (radio access network)
- Open RAN terminologies
- Open RAN standards
- Open RAN design goals
- Challenges with open RAN
Open RAN Architecture
- Traditional telecom network
- Traditional radio access network (RAN)
- Stages for RAN evolution
- Evolution to disaggregation RAN
- RAN deployment scenarios during evolution
- Protocol layer overview
- Protocol layer functionalities
- Open RAN architecture - 3GPP split 2
- Open RAN architecture - O-RAN alliance
- Service management and orchestration (SMO)
Open Distributed Unit (O-DU) Functionality
- Physical layer overview (DL)
- Layer 1 functional block - PDCCH
- PDCCH - Simulation
- PDSCH and DL reference signals
- PDSCH and reference signals - Simulation
- Physical uplink control channels (PUCCH)
- Physical uplink shared channels (PUSCH)
- Uplink signals and channels - Simulation
- Layer 1 (5G NR physical layer) - Simulation
- Layer 2 functional block - RLC protocol module
- Layer 2 - MAC protocol module and scheduler
Open Central Unit (O-CU) Functionality
- Layer 2 data flow
- Packet data convergence protocol (PDCP)
- Service data adaptation protocol (SDAP)
- Layer 3 - Rdio protocol architecture
- Layer 3 - Radio resource control (RRC)
Machine Learning (ML) and Radio Intelligent Controllers (RICs)
- What is machine learning
- Machine learning types
- ML functionality - Control loops in open RAN
- ML deployment in open RAN
- ML use cases in the telecom industry
- ML use cases in open RAN - Traffic steering
- ML use cases in open RAN - QoE and 3D MIMO
- Radio intelligent controllers (RICs) and ML deployment
- xApps - Use case (near-real-time RIC)
- rApps - Use case (non-real-time RIC)
Cloud, Virtualization, SDN, MEC, and Open RAN Deployment Scenarios
- O-cloud overview
- O-cloud platform in open RAN
- NFV and orchestration overview
- NFV and orchestration deployment
- Software-defined network (SDN) overview
- Software-defined network (SDN) deployment
- Multiaccess edge computing (MEC) overview
- Multiaccess edge computing (MEC) deployment
- Open RAN deployment
- Open RAN deployment scenarios
Conclusion
- Next steps