5G ORAN Open RAN Architecture Procedures And Use Cases
What you’ll 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)
Requirements
Basic concepts of Mobile telecommunication and 5G
Description
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 RANSection 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-aggregationSection 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) ProtocolSection 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 EcosystemsSection 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 OPEXSection 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 RICSection 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
Overview
Section 1: Introduction
Lecture 1 The Main components of a 5G Network
Lecture 2 Design Goals of Open RAN
Section 2: Evolution to Open RAN
Lecture 3 Traditional Basestation Architecture
Lecture 4 Evolution to the Contemporary Basestation
Lecture 5 Evolution to Virtualized RAN (vRAN)
Lecture 6 From Virtualized RAN (vRAN) towards Open RAN
Lecture 7 Difference Between Distributed RAN and Centralized RAN
Lecture 8 Difference Between Centralized RAN and Cloud RAN
Lecture 9 Path to 5G Open RAN: Horizontal Dis-aggregation
Section 3: RAN Splits-Logical View
Lecture 10 Different RAN Functional Splits
Lecture 11 RAN Split Option 1
Lecture 12 RAN Split Option 2
Lecture 13 RAN Split Option 8
Lecture 14 RAN Split Option 6
Lecture 15 RAN Splits Logical View
Lecture 16 Option 7.2x for Open RAN
Lecture 17 Enhanced CPRI (e-CPRI) Protocol
Section 4: Overview of O-RAN Architecture
Lecture 18 Difference Between Open RAN and O-RAN
Lecture 19 Control Plane & User Plane Dis-aggregation in O-RAN
Lecture 20 Entities & Interfaces Introduced in O-RAN Alliance Architecture Functions
Lecture 21 Options For Aggregation of O-RAN Nodes
Lecture 22 O-RAN Control Loops
Lecture 23 Major Entities in O-RAN Ecosystems
Section 5: Virtualization techniques for O-RAN
Lecture 24 Evolution of Virtualization: Physical Network Functions (PNFs)
Lecture 25 Virtual Network Functions (VNFs)
Lecture 26 Monolithic Applications as VNFs
Lecture 27 Cloud Native Network Function-Distributed Applications
Lecture 28 O-Cloud Deployment Options
Lecture 29 DEVOPS CI-CD in O-RAN
Lecture 30 Network Automation to Reduce CAPEX and OPEX
Section 6: Detailed O-RAN Architecture
Lecture 31 Service Management and Orchestration (SMO)
Lecture 32 Non Real Time RIC (non-RT RIC)
Lecture 33 JSON (JavaScript Object Notation) Format Example
Lecture 34 A1 Policy Format and Examples
Lecture 35 Near Real Time RIC
Lecture 36 Centralized and Distributed Near-RT RIC
Section 7: O-RAN Traffic Steering Use Case
Lecture 37 O-RAN Traffic Steering (TS) APP Example-Problem of Traditional TS
Lecture 38 Advantages of TS using O-RAN
Lecture 39 Required Data (KPI) collection for TS
Lecture 40 Role of Non-RT RIC in TS
Lecture 41 Role of Near RT RIC in TS
Lecture 42 Role of E2-Node in TS
Lecture 43 TS Example Scenario
Section 8: Network Slicing in 5G O-RAN
Lecture 44 What Is A Network Slice
Lecture 45 Example of Network Slicing in 5G
Lecture 46 Single Network Slice Selection Assistance Information (S-NSSAI)
Lecture 47 Network Slice Subnet Instance (NSSI)
Lecture 48 Network Slicing Management Model: CSMF, NSMF,NSSMF
Lecture 49 Network Slice Template (NST)
Lecture 50 Open Network Automation Platform (ONAP) Architecture
Lecture 51 ONAP based O-RAN Network Slicing Architecture
Lecture 52 Network Slice Instance Creation Procedure Using ONAP based Network Slicing
Section 9: O-RAN Use Case
Lecture 53 Use Case: NSSI Resource Allocation Optimization
Lecture 54 NSSI Resource Allocation Optimization Procedure
Lecture 55 Flow Diagram: NSSI Resource Allocation Optimization
Lecture 56 Use Case: Flight Path Based Dynamic UAV Radio Resource Allocation
Lecture 57 Flight Path Based Dynamic UAV Radio Resource Allocation Procedure
Lecture 58 Flow Diagram: Flight Path Based Dynamic UAV Radio Resource Allocation
Lecture 59 Use Case: 5G Massive MIMO Beamforming Optimization
Lecture 60 Massive MIMO Beamforming Optimization Procedure
Section 10: Artificial Intelligence (AI) & Machine Learning (ML) in O-RAN
Lecture 61 Introduction to AI/ML
Lecture 62 Machine Learning & Its Types: 1. Supervised Learning
Lecture 63 Linear Regression & Its Application
Lecture 64 Classification using Neural Networks
Lecture 65 Training of Neural Networks using Gradient Descent
Lecture 66 Neural Networks usage Example in Mobile Networks
Lecture 67 Logistic Regression for Classification
Lecture 68 2. Unsupervised Learning: K-Mean Clustering
Lecture 69 Steps in K-Mean Clustering
Lecture 70 Example of K-Mean Clustering Usage in Mobile Networks
Lecture 71 3. Reinforcement Learning
Lecture 72 Reinforcement Learning usage Examples in RAN
Lecture 73 AI/ML Application in Radio Access Network (RAN)
Lecture 74 AI/ML Framework for O-RAN: Data Source & Collection
Lecture 75 AI/ML Framework for O-RAN: ML Training Host, Model Management, ML Inference Host
Lecture 76 AI-ML Framework for O-RAN: Actor
Lecture 77 Mapping AI-ML Functionalities into O-RAN Control Loops
Lecture 78 Deployment Scenario 1.1
Lecture 79 Deployment Scenario 1.2
Lecture 80 Deployment Scenario 1.3
Lecture 81 Deployment Scenario 1.4
Lecture 82 ML Model Life-cycle Implementation Example
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.
Course Information:
Udemy | English | 3h 13m | 854.35 MB
Created by: Dr. Moazzam Tiwana
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