ORAN : Beginner to Expert level with 5G-ORAN lab Testing

Understand the overall structure of the O-RAN architecture, exploring essential components such as O-CU, O-DU, O-RU, and key interfaces for seamless integration.

Dive into O-RAN Alliance working groups, covering their specific roles, responsibilities, and how they collectively drive standardization and innovation in O-RAN.

Explore detailed functional split options in O-RAN, particularly the popular 7.2x split, including its benefits for interoperability, complexity reduction, and bandwidth efficiency.

Explore the SMO framework responsible for lifecycle management, automation, and orchestration across multi-vendor networks, optimizing RAN service delivery.

Understand the purpose, core functionalities, and layered architecture of the RAN Intelligent Controller (RIC), central to AI-driven O-RAN operations.

Dive into the Near-Real-Time RIC, learning about its functions like real-time RAN optimization, xApps management, E2 interface interactions, and conflict mitigation.

Gain insights into the Non-Real-Time RIC, covering its role in policy management, AI/ML model training, optimization strategies, and practical use cases.

Deepen your knowledge of critical O-RAN interfaces including O1, O2, A1, and E2, their technical specifications, use cases, and roles within the O-RAN ecosystem.

This lecture provides a comprehensive overview of the Open Fronthaul architecture, its functional planes (C/U/S/M), and how the open interfaces enable multi-vendor RAN deployments. Key technologies like eCPRI, PTP, and IQ transport are introduced at a high level.

This lecture explains the complete data flow architecture between the O-DU (Distributed Unit) and O-RU (Radio Unit), covering control, user, and synchronization planes. Students will understand how signaling and user data traverse through the fronthaul interface and how interoperability is achieved.

Learn the fundamental concepts of IQ (In-phase and Quadrature) data in the context of O-RAN. This lecture explains signal representation, modulation impacts, and how IQ samples form the backbone of digital RF communication between DUs and RUs.

This session outlines the step-by-step procedure of how IQ data is transferred over the U-plane. You’ll understand the scheduling, header encapsulation, and timing coordination required for effective downlink and uplink data handling.

Explore Enhanced Common Public Radio Interface (eCPRI) protocol in depth. This lecture focuses on message types, ID mappings, sequence numbering, and its advantages over traditional CPRI in bandwidth savings and packet-based transport.

This lecture explains the Control Plane (C-Plane) message format, which carries beamforming commands, scheduling information, and other control instructions. Learn how C-plane timing aligns with U-plane delivery to ensure smooth and precise RF transmission.

Dive deep into the User Plane (U-Plane) packet structure as per O-RAN WG4 specifications. You’ll learn how IQ data is transmitted, the frame format, header construction, sequence handling, and the mapping of physical channel data in the O-DU to O-RU direction.

Synchronization is vital in O-RAN for coordinated transmission and mobility. This lecture details protocols like PTP (IEEE 1588v2) and SyncE, synchronization architectures (LLS-C1 to C4), and how timing is maintained between O-DU and O-RU.

Explore the complete lab setup for O-RAN testing, covering essential equipment, configuration methods, and the practical setup of end-to-end testing environments.

Understand the detailed procedures for conducting conformance tests on 5G ORAN equipment, including transmitter performance, frequency accuracy, and latency.

Dive into IoT testing profiles specific to O-RAN, examining test procedures for startup installation, synchronization accuracy, functional verification, and performance metrics.

Understand the core vision of 6G, including goals like ultra-low latency and THz spectrum, and explore how O-RAN’s open architecture aligns with and supports this future.

Learn how O-RAN evolves into an AI-native RAN, integrating real-time machine learning, semantic reasoning, and edge intelligence through RIC and SMO frameworks.

Identify key technical challenges in deploying O-RAN at 6G scale—covering fronthaul latency, AI trust, real-time compute, interoperability, and global standardization efforts.