Contents
Foreword: Why future-proof RAN planning matters now
3
Introduction: The evolution of RAN planning in the 5G era
4
Building Block 1: AI-driven accuracy in RAN planning
5 5 6 6 7 7 8 9
From static equations to learning models
Key architectural elements of AI-driven accuracy What AI-driven accuracy enables in practice Building Block 2: Advanced propagation models Why the propagation architecture must evolve Elements of an advanced propagation framework The shift to pre-calibrated propagation models and curated geodata as-a-service Building Block 3: Streamlined and intuitive processes in RAN planning From siloed expert-only workflows to planning-as-a-service Cloud-native planning as an enabler of process modernization The business case for a modern planning approach Geodata – when you need it, where you need it Propagation – pre-configured for accuracy IT overheads – cloud collaboration and scale
11
11 11
13 13 13 13 14
Support and maintenance – SaaS efficiencies
RAN planning best practice – 10 key KPIs
15
Conclusion: A roadmap to future-proof RAN planning
16
Powered by FlippingBook