AI for positioning: ML-enhanced location accuracy, fingerprinting, ray tracing

Traditional vs ML-Enhanced Positioning

Traditional 5G NR positioning uses methods like downlink time-difference-of-arrival, uplink angle-of-arrival, and multi-round-trip-time measurements. These achieve 10-meter accuracy outdoors and often degrade to 50 meters or worse indoors due to severe multipath propagation and non-line-of-sight conditions. ML-enhanced positioning significantly improves accuracy by learning the complex relationship between measured signal characteristics and actual physical location. Instead of relying on geometric calculations that assume clean signal propagation, ML models learn from real-world…