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Course Outline
Foundations: 6G Vision and Technical Drivers
- Emerging 6G KPIs and service classes (latency, reliability, throughput, sensing)
- Key technology enablers and expected timelines
- Implications for network architecture and infrastructure
Transport Network Evolution: Fronthaul, Midhaul, Backhaul
- Requirements for ultra-low-latency transport and deterministic tunnels
- Fronthaul options (CPRI/eCPRI, RoE, split options) and bandwidth scaling
- Optical transport enhancements and fiber densification strategies
Cloud-Native RAN, vRAN, and O-RAN Integration
- Cloud-native network functions and containerized RAN principles
- vRAN design patterns, hardware acceleration, and disaggregation trade-offs
- O-RAN architecture, open interfaces, and integration challenges
Edge & Distributed Compute Design
- Edge placement strategies for MEC and ultra-low-latency services
- Capacity planning, resource orchestration, and multi-access edge compute
- Interworking between central cloud, edge, and on-prem resources
Timing, Synchronization & Determinism
- Precision timing requirements for 6G use cases
- PTP, SyncE, and GNSS considerations and hardening strategies
- Architectures for deterministic packet transport and redundancy
Spectrum, RF, and Antenna System Readiness
- mmWave and THz propagation challenges and cell planning implications
- Antenna system upgrades: massive MIMO evolution and active arrays
- Densification, backhaul provisioning, and site power/thermal planning
Integrated Sensing and Communication Infrastructure
- Co-design of sensing-capable radios and network-aware sensing pipelines
- Data fusion, timing, and edge processing for real-time sensing
- Use cases: positioning, environmental monitoring, and industrial sensing
Network Automation, AI-Native Management & Orchestration
- Intent-based networking, closed-loop automation, and model-driven operations
- AI/ML for traffic prediction, fault detection, and resource optimization
- CI/CD for network functions and automated validation practices
Security, Resilience & Trustworthy Infrastructure
- Threat models for highly distributed 6G topologies
- Hardware and software supply-chain considerations
- Operational resilience, redundancy, and disaster recovery planning
Testing, Validation & Digital Twin Approaches
- Verification methodologies for latency, jitter, and throughput SLAs
- Digital twin use for planning, what-if analysis, and capacity forecasting
- Interoperability testing with 5G legacy systems and multi-vendor stacks
Migration Strategies and Roadmaps
- Phased upgrade paths: coexistence strategies with minimal disruption
- Business case building, cost estimation, and ROI considerations
- Pilot planning, KPIs, and stakeholder engagement for rollout
Workshop: Design Review and Readiness Plan
- Hands-on architecture design exercise addressing a real deployment scenario
- Gap analysis and prioritized remediation plan for infrastructure readiness
- Presentation of proposed roadmap and risk mitigation measures
Summary and Next Steps
Requirements
- Experience in telecom network engineering and design
- Familiarity with 4G/5G RAN and core network concepts
- Working knowledge of IP transport, timing/synchronization, and RF fundamentals
Audience
- Telecom engineers and radio access network (RAN) architects
- Network planners and transport/optical engineers
- Infrastructure and cloud architects preparing networks for next-gen evolution
21 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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