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Level 26
Telecom Digital Twins & AI-RAN
Master telecom digital twins for what-if simulation and predictive operations, AI-RAN techniques for beam management, CSI feedback, scheduling, and positioning, 3GPP AI/ML framework, TM Forum autonomous network levels, and closed-loop optimization with twin-validated AI.
13 interactive5 simulation3 labs3 quizzes
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0/24 lessons
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Network Digital Twins Deep Dive
0/8Digital twin concept, architecture, data sources, simulation capabilities, RF planning twins, vendor platforms, and pipeline design.
Digital twin concept for telecom: real-time virtual replica of the live network
Animation showing physical network synchronized with its digital twin replica.
interactive3 min
Digital twin architecture: data ingestion, model engine, simulation, visualization
Four-layer architecture diagram with data flow between twin components.
interactive3 min
Data sources: PM counters, MDT, call traces, OSS alarms, topology, config
Data pipeline visualization showing ingestion from six source categories.
interactive3 min
Simulation capabilities: what-if analysis, parameter testing, failure prediction
Interactive what-if scenario comparison with parameter tuning.
simulation3 min
Digital twin for RF planning: propagation modeling, coverage prediction, site optimization
Twin-based RF planning workflow with coverage prediction steps.
interactive3 min
Real-world: Nokia Digital Twin, Ericsson Network Digital Twin, NVIDIA Aerial
Vendor platform comparison with feature and maturity tracking.
interactive3 min
Lab: Design a digital twin data pipeline for a 50-cell 5G cluster
Pipeline design exercise selecting data sources and ingestion architecture.
lab5 min
Quiz: Digital twins
Test your knowledge of digital twin architecture and data pipelines.
quiz5 min
AI-RAN: AI-Native Radio Access
0/9AI-RAN vision, AI for beam management, CSI feedback, scheduling, positioning, model lifecycle, 3GPP framework, and AI beam design lab.
AI-RAN vision: AI embedded in every layer of the RAN
AI-RAN architecture diagram showing AI at PHY, MAC, RRC, and O-RAN layers.
interactive3 min
AI for beam management: ML-predicted beams, reduced overhead, faster tracking
Traditional vs AI-based beam management comparison with overhead metrics.
simulation3 min
AI for CSI feedback: encoder-decoder neural networks for channel estimation
Neural network architecture for CSI compression and reconstruction.
interactive3 min
AI for scheduling: reinforcement learning for radio resource allocation
RL-based scheduler vs traditional scheduler comparison with metrics.
simulation3 min
AI for positioning: ML-enhanced location accuracy, fingerprinting, ray tracing
Positioning accuracy comparison across traditional and ML methods.
interactive3 min
AI model lifecycle in RAN: training, validation, deployment, monitoring, retraining
MLOps pipeline for AI-RAN with lifecycle stage exploration.
interactive3 min
3GPP AI/ML framework: Rel-18/19 study items, normative work, functional framework
3GPP AI/ML standardization timeline with study item details.
interactive3 min
Lab: Design an AI beam management solution — data collection, model, deployment
Multi-step AI beam management design exercise with scoring.
lab5 min
Quiz: AI-RAN
Test your knowledge of AI-RAN techniques and 3GPP framework.
quiz5 min
Autonomous Networks & Closed-Loop Operations
0/7TM Forum autonomy levels, closed-loop optimization, predictive maintenance, energy optimization, operator case studies, and autonomous loop design.
TM Forum Autonomous Networks: levels 0-5, from manual to full autonomy
Autonomy levels comparison chart with capability progression.
interactive3 min
Closed-loop optimization with digital twins: simulate → validate → deploy → monitor
Closed-loop cycle animation with twin validation at each stage.
interactive3 min
Predictive maintenance: failure prediction, proactive replacement, spare part optimization
Predictive model workflow with failure probability and KPI inputs.
simulation3 min
Energy optimization with AI: cell DTX/DRX, carrier shutdown, load-aware energy saving
Energy saving strategies comparison with load-based savings calculator.
simulation3 min
Real-world: Autonomous network deployments — SK Telecom, China Mobile, Etisalat
Operator case studies with autonomy level achieved and key metrics.
interactive3 min
Lab: Design a closed-loop optimization system — twin + AI + RIC + action
Full autonomous loop design exercise with component selection and scoring.
lab5 min
Quiz: Autonomous networks — Level Gate
Comprehensive assessment covering digital twins, AI-RAN, and autonomous ops.
quiz5 min