5G O-RAN (Open RAN): Architecture, Procedures And Use Cases

5G O-RAN (Open RAN): Architecture, Procedures And Use Cases, available at $64.99, has an average rating of 4.21, with 82 lectures, based on 1135 reviews, and has 3748 subscribers.

You will learn about O-RAN (Open RAN) Concept in detail Evolution to O-RAN (vRAN, C-RAN, D-RAN, RAN Disaggregation) RAN Functional Split Options (specially option 7.2x) Enhanced CPRI (e-CPRI) Protocol O-RAN Architecture (SMO, Non RT RIC, Near RT RIC) Virtualization on O-RAN DEVOPS in O-RAN ORAN Use Cases (Traffic Steering, NSSI Optimization, UAV resource allocarion) This course is ideal for individuals who are Network and system engineers who want to pursue their carrier in Telecom Industry or Students and working professionals who want understanding of 5G O-RAN (Open RAN) or Anyone who want to learn protocols and procedures involved in O-RAN or Anyone who want to upgrade their skills for better job. It is particularly useful for Network and system engineers who want to pursue their carrier in Telecom Industry or Students and working professionals who want understanding of 5G O-RAN (Open RAN) or Anyone who want to learn protocols and procedures involved in O-RAN or Anyone who want to upgrade their skills for better job.

Enroll now: 5G O-RAN (Open RAN): Architecture, Procedures And Use Cases

Summary

Title: 5G O-RAN (Open RAN): Architecture, Procedures And Use Cases

Price: $64.99

Average Rating: 4.21

Number of Lectures: 82

Number of Published Lectures: 82

Number of Curriculum Items: 82

Number of Published Curriculum Objects: 82

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

O-RAN (Open RAN) Concept in detail
Evolution to O-RAN (vRAN, C-RAN, D-RAN, RAN Disaggregation)
RAN Functional Split Options (specially option 7.2x)
Enhanced CPRI (e-CPRI) Protocol
O-RAN Architecture (SMO, Non RT RIC, Near RT RIC)
Virtualization on O-RAN
DEVOPS in O-RAN
ORAN Use Cases (Traffic Steering, NSSI Optimization, UAV resource allocarion)

Who Should Attend

Network and system engineers who want to pursue their carrier in Telecom Industry
Students and working professionals who want understanding of 5G O-RAN (Open RAN)
Anyone who want to learn protocols and procedures involved in O-RAN
Anyone who want to upgrade their skills for better job.

Target Audiences

Network and system engineers who want to pursue their carrier in Telecom Industry
Students and working professionals who want understanding of 5G O-RAN (Open RAN)
Anyone who want to learn protocols and procedures involved in O-RAN
Anyone who want to upgrade their skills for better job.

O-RAN (or Open RAN) opens new avenues of service innovation and agility for telcos by breaking the Radio Access Network (RAN) into its component parts, each of which can be separately reconfigured. O-RAN standards are freely accessible to all third-party software developers, who can develop new types of services and innovate on the RAN Intelligent Controller (RIC) by building xApps and rApps. This enables telcos to make their networks a much more relevant resource for both enterprise and consumer applications.

Arguably the open RAN’s biggest claim is the potential to enable telcos to avoid vendor lock-in by replacing vendor-proprietary interfaces with a fully disaggregated RAN based on open standards.

Automation will be key to managing the lifecycle of disaggregated, cloud-native RAN functions. O-RAN can bring down the network deployment and operation cost by evolving the network in a continuous integration/ continuous delivery (CI/CD) manner rather than through generational investment cycles.

This course covers all the important topics that are required to have a good and comprehensive learning of the O-RAN technology. The relevant standards of the O-RAN alliance have been discussed to describe the O-RAN architecture and working, as well as the O-RAN open interfaces.

The contents of the this course are:

Section 1: Introduction
The Main components of a 5G Network
Design Goals of Open RAN

Section 2: Evolution to Open RAN
Traditional Basestation Architecture
Evolution to the Contemporary Basestation
Evolution to Virtualized RAN (vRAN)
From Virtualized RAN (vRAN) towards Open RAN
Difference Between Distributed RAN and Centralized RAN
Difference Between Centralized RAN and Cloud RAN
Path to 5G Open RAN: Horizontal Dis-aggregation

Section 3: RAN Splits-Logical View
Different RAN Functional Splits
RAN Split Option 1
RAN Split Option 2
RAN Split Option 8
RAN Split Option 6
RAN Splits Logical View
Option 7.2x for Open RAN
Enhanced CPRI (e-CPRI) Protocol

Section 4: Overview of O-RAN Architecture
Difference Between Open RAN and O-RAN
Control Plane & User Plane Dis-aggregation in O-RAN
Entities & Interfaces Introduced in O-RAN Alliance Architecture Functions
Options For Aggregation of O-RAN Nodes
O-RAN Control Loops
Major Entities in O-RAN Ecosystems

Section 5: Virtualization techniques for O-RAN
Evolution of Virtualization: Physical Network Functions (PNFs)
Virtual Network Functions (VNFs)
Monolithic Applications as VNFs
Cloud Native Network Function-Distributed Applications
O-Cloud Deployment Options
DEVOPS CI-CD in O-RAN
Network Automation to Reduce CAPEX and OPEX

Section 6: Detailed O-RAN Architecture
Service Management and Orchestration (SMO)
Non Real Time RIC (non-RT RIC)
JSON (JavaScript Object Notation) Format Example
A1 Policy Format and Examples
Near Real Time RIC
Centralized and Distributed Near-RT RIC

Section 7: O-RAN Traffic Steering Use Case
O-RAN Traffic Steering (TS) APP Example-Problem of Traditional TS
Advantages of TS using O-RAN
Required Data (KPI) collection for TS
Role of Non-RT RIC in TS
Role of Near RT RIC in TS
Role of E2-Node in TS
TS Example Scenario

Section 8: Network Slicing in 5G O-RAN
What Is A Network Slice
Example of Network Slicing in 5G
Single Network Slice Selection Assistance Information (S-NSSAI)
Network Slice Subnet Instance (NSSI)
Network Slicing Management Model: CSMF, NSMF,NSSMF
Network Slice Template (NST)
Open Network Automation Platform (ONAP) Architecture
ONAP based O-RAN Network Slicing Architecture
Network Slice Instance Creation Procedure Using ONAP based Network Slicing

Section 9: Other O-RAN Use Case
Use Case: NSSI Resource Allocation Optimization
NSSI Resource Allocation Optimization Procedure
Flow Diagram: NSSI Resource Allocation Optimization
Use Case: Flight Path Based Dynamic UAV Radio Resource Allocation
Flight Path Based Dynamic UAV Radio Resource Allocation Procedure
Flow Diagram: Flight Path Based Dynamic UAV Radio Resource Allocation

Course Curriculum

Chapter 1: Introduction

Lecture 1: The Main components of a 5G Network

Lecture 2: Design Goals of Open RAN

Chapter 2: Evolution to Open RAN

Lecture 1: Traditional Basestation Architecture

Lecture 2: Evolution to the Contemporary Basestation

Lecture 3: Evolution to Virtualized RAN (vRAN)

Lecture 4: From Virtualized RAN (vRAN) towards Open RAN

Lecture 5: Difference Between Distributed RAN and Centralized RAN

Lecture 6: Difference Between Centralized RAN and Cloud RAN

Lecture 7: Path to 5G Open RAN: Horizontal Dis-aggregation

Chapter 3: RAN Splits-Logical View

Lecture 1: Different RAN Functional Splits

Lecture 2: RAN Split Option 1

Lecture 3: RAN Split Option 2

Lecture 4: RAN Split Option 8

Lecture 5: RAN Split Option 6

Lecture 6: RAN Splits Logical View

Lecture 7: Option 7.2x for Open RAN

Lecture 8: Enhanced CPRI (e-CPRI) Protocol

Chapter 4: Overview of O-RAN Architecture

Lecture 1: Difference Between Open RAN and O-RAN

Lecture 2: Control Plane & User Plane Dis-aggregation in O-RAN

Lecture 3: Entities & Interfaces Introduced in O-RAN Alliance Architecture Functions

Lecture 4: Options For Aggregation of O-RAN Nodes

Lecture 5: O-RAN Control Loops

Lecture 6: Major Entities in O-RAN Ecosystems

Chapter 5: Virtualization techniques for O-RAN

Lecture 1: Evolution of Virtualization: Physical Network Functions (PNFs)

Lecture 2: Virtual Network Functions (VNFs)

Lecture 3: Monolithic Applications as VNFs

Lecture 4: Cloud Native Network Function-Distributed Applications

Lecture 5: O-Cloud Deployment Options

Lecture 6: DEVOPS CI-CD in O-RAN

Lecture 7: Network Automation to Reduce CAPEX and OPEX

Chapter 6: Detailed O-RAN Architecture

Lecture 1: Service Management and Orchestration (SMO)

Lecture 2: Non Real Time RIC (non-RT RIC)

Lecture 3: JSON (JavaScript Object Notation) Format Example

Lecture 4: A1 Policy Format and Examples

Lecture 5: Near Real Time RIC

Lecture 6: Centralized and Distributed Near-RT RIC

Chapter 7: O-RAN Traffic Steering Use Case

Lecture 1: O-RAN Traffic Steering (TS) APP Example-Problem of Traditional TS

Lecture 2: Advantages of TS using O-RAN

Lecture 3: Required Data (KPI) collection for TS

Lecture 4: Role of Non-RT RIC in TS

Lecture 5: Role of Near RT RIC in TS

Lecture 6: Role of E2-Node in TS

Lecture 7: TS Example Scenario

Chapter 8: Network Slicing in 5G O-RAN

Lecture 1: What Is A Network Slice

Lecture 2: Example of Network Slicing in 5G

Lecture 3: Single Network Slice Selection Assistance Information (S-NSSAI)

Lecture 4: Network Slice Subnet Instance (NSSI)

Lecture 5: Network Slicing Management Model: CSMF, NSMF,NSSMF

Lecture 6: Network Slice Template (NST)

Lecture 7: Open Network Automation Platform (ONAP) Architecture

Lecture 8: ONAP based O-RAN Network Slicing Architecture

Lecture 9: Network Slice Instance Creation Procedure Using ONAP based Network Slicing

Chapter 9: O-RAN Use Case

Lecture 1: Use Case: NSSI Resource Allocation Optimization

Lecture 2: NSSI Resource Allocation Optimization Procedure

Lecture 3: Flow Diagram: NSSI Resource Allocation Optimization

Lecture 4: Use Case: Flight Path Based Dynamic UAV Radio Resource Allocation

Lecture 5: Flight Path Based Dynamic UAV Radio Resource Allocation Procedure

Lecture 6: Flow Diagram: Flight Path Based Dynamic UAV Radio Resource Allocation

Lecture 7: Use Case: 5G Massive MIMO Beamforming Optimization

Lecture 8: Massive MIMO Beamforming Optimization Procedure

Chapter 10: Artificial Intelligence (AI) & Machine Learning (ML) in O-RAN

Lecture 1: Introduction to AI/ML

Lecture 2: Machine Learning & Its Types: 1. Supervised Learning

Lecture 3: Linear Regression & Its Application

Lecture 4: Classification using Neural Networks

Lecture 5: Training of Neural Networks using Gradient Descent

Lecture 6: Neural Networks usage Example in Mobile Networks

Lecture 7: Logistic Regression for Classification

Lecture 8: 2. Unsupervised Learning: K-Mean Clustering

Lecture 9: Steps in K-Mean Clustering

Lecture 10: Example of K-Mean Clustering Usage in Mobile Networks

Lecture 11: 3. Reinforcement Learning

Lecture 12: Reinforcement Learning usage Examples in RAN

Lecture 13: AI/ML Application in Radio Access Network (RAN)

Lecture 14: AI/ML Framework for O-RAN: Data Source & Collection

Lecture 15: AI/ML Framework for O-RAN: ML Training Host, Model Management, ML Inference Host

Lecture 16: AI-ML Framework for O-RAN: Actor

Lecture 17: Mapping AI-ML Functionalities into O-RAN Control Loops

Lecture 18: Deployment Scenario 1.1

Lecture 19: Deployment Scenario 1.2

Lecture 20: Deployment Scenario 1.3

Lecture 21: Deployment Scenario 1.4

Lecture 22: ML Model Life-cycle Implementation Example

Instructors

Dr. Moazzam Tiwana
Assistant Professor/Telecom Engineer

Rating Distribution

1 stars: 16 votes
2 stars: 14 votes
3 stars: 143 votes
4 stars: 453 votes
5 stars: 509 votes

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