pdf_gross.gif O-RAN: Architecture, Implementation & Operation


[duration: 2 full days or 4 x ½ day, Euro 2,350.- (net) per participant]

Methodology: online delivery



O-RAN: Architecture, Implementation & Operation

Table of Contents:


Part 1: ORAN / An Overview


  • Architecture overview
  • Artifical Intelligence (AI) and Machine Learning (ML) in Context with O-RAN
  • Standardization and Interaction among Players (incl. incumbent RAN-vendors)
  • Functional split options and O-RAN
    • Focus on 7.2X between O-RU and O-DU

Part 2: Architecture Details: Open Cloud, Virtualization & Acceleration


  • HW-virtualization and VM's vs OS-virtualization and containers
    • e.g. performance differences, comparison with dedicated HW-solutions
  • Open Cloud and its components
    • Edge Cloud, Regional Cloud, Core Cloud
    • Xhaul: Fronthaul and Backhaul
  • Acceleration options: FPGA, GPU, eASIC, Inline, look-aside

  • Kubernetes and Docker
    • Kubernetes master node and worker nodes
    • Pods
    • Networking with Kubernetes
    • Demo of Minikube / bashing into pods and containers
    • Service mesh with Istio as example
    • Load sharing: Istio vs KubeProxy

Part 3: Architecture Details: The RIC (near-RT & non-RT)


  • Tasks & functions, differences between near-RT RIC and non-RT RIC
  • control loop types and their meaning
  • xApps and rApps
  • Looking deeper into example xApp: Traffic steering

Part 4: SMO (Service Mgmt & Orchestration)


  • Interfaces (O1, O2, A1, Open Fronthaul MP)
  • Relationship with FCAPS model
  • SON with RIC
  • Day 0 and Day 1 configuration
  • Cloud Mgmt
  • OAM (Operation & Maintenance)
    • Network slicing with ORAN
    • Mobile Edge Computing with ORAN

Part 5: Conclusions & Outlook


  • Next steps of O-RAN standardization
  • Blending of O-RAN into legacy system vendors' solutions
  • O-RAN in Rakuten and Drilisch networks
  • Why ORAN?
  • Pros & Cons


v1.0

pdf_gross.gif