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Course Outline

Module 1: Foundations of 6G Vision and Technical Drivers

  • Emerging 6G Key Performance Indicators (KPIs) and service categories (latency, reliability, throughput, sensing).
  • Core enabling technologies and projected deployment timelines.
  • Implications for future network architecture and infrastructure design.

Module 2: Evolution of Transport Networks (Fronthaul, Midhaul, Backhaul)

  • Requirements for ultra-low-latency transport and deterministic tunneling.
  • Fronthaul options (CPRI/eCPRI, RoE, functional splits) and bandwidth scaling strategies.
  • Enhancements in optical transport and fiber densification techniques.

Module 3: Cloud-Native RAN, vRAN, and O-RAN Integration

  • Cloud-native network functions and principles of containerized RAN.
  • vRAN design patterns, hardware acceleration, and trade-offs in disaggregation.
  • O-RAN architecture, open interfaces, and integration challenges.

Module 4: Edge and Distributed Compute Design

  • Strategies for Multi-access Edge Computing (MEC) placement to support ultra-low-latency services.
  • Resource orchestration, capacity planning, and multi-access edge compute management.
  • Interworking between central cloud, edge nodes, and on-premises resources.

Module 5: Timing, Synchronization, and Determinism

  • Precision timing requirements for 6G use cases.
  • Considerations and hardening strategies for PTP, SyncE, and GNSS.
  • Architectures for deterministic packet transport and redundancy.

Module 6: Spectrum, RF, and Antenna System Readiness

  • Challenges in mmWave and THz propagation and their impact on cell planning.
  • Antenna system upgrades: evolution of massive MIMO and active arrays.
  • Network densification, backhaul provisioning, and site power/thermal planning.

Module 7: Integrated Sensing and Communication Infrastructure

  • Co-designing sensing-capable radios with network-aware sensing pipelines.
  • Data fusion, timing, and edge processing for real-time sensing applications.
  • Use cases: positioning, environmental monitoring, and industrial sensing.

Module 8: Network Automation, AI-Native Management, and Orchestration

  • Intent-based networking, closed-loop automation, and model-driven operations.
  • Utilizing AI/ML for traffic prediction, fault detection, and resource optimization.
  • CI/CD pipelines for network functions and automated validation practices.

Module 9: Security, Resilience, and Trustworthy Infrastructure

  • Threat models for highly distributed 6G topologies.
  • Hardware and software supply-chain security considerations.
  • Operational resilience, redundancy, and disaster recovery planning.

Module 10: Testing, Validation, and Digital Twin Approaches

  • Verification methodologies for latency, jitter, and throughput SLAs.
  • Leveraging digital twins for planning, what-if analysis, and capacity forecasting.
  • Interoperability testing with 5G legacy systems and multi-vendor stacks.

Module 11: Migration Strategies and Roadmaps

  • Phased upgrade paths and coexistence strategies to minimize disruption.
  • Building business cases, cost estimation, and ROI analysis.
  • Pilot planning, defining KPIs, and stakeholder engagement for rollout.

Workshop: Design Review and Readiness Plan

  • Hands-on architecture design exercise based on a real-world deployment scenario.
  • Gap analysis and prioritized remediation plan for infrastructure readiness.
  • Presentation of the proposed roadmap and risk mitigation measures.

Summary and Next Steps

Requirements

  • Professional experience in telecom network engineering and design.
  • Solid understanding of 4G/5G RAN and core network concepts.
  • Working knowledge of IP transport, timing/synchronization protocols, and RF fundamentals.

Target Audience

  • Telecom engineers and Radio Access Network (RAN) architects.
  • Network planners and transport/optical engineering specialists.
  • Infrastructure and cloud architects focused on preparing networks for next-generation technologies.
 21 Hours

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