Lab: Design an AI beam management solution — data collection, model, deployment

Lab Scenario: AI Beam Management for Urban mmWave

In this lab you design a complete AI beam management solution for a mmWave small cell deployment in a dense urban corridor. The deployment uses 28 GHz with 256-element antenna arrays supporting 64 narrow beams per cell. Current exhaustive beam sweeping consumes 40% of available reference signal overhead. Your task is to design the data collection strategy, neural network model architecture, training pipeline, and deployment plan that reduces beam sweeping overhead by at least 60% while maintaining beam selection accuracy above 90% for both stationary and mobile UEs.