1 research outputs found
Potentials of Deterministic Radio Propagation Simulation for AI-Enabled Localization and Sensing
Machine leaning (ML) and artificial intelligence (AI) enable new methods for
localization and sensing in next-generation networks to fulfill a wide range of
use cases. These approaches rely on learning approaches that require large
amounts of training and validation data. This paper addresses the data
generation bottleneck to develop and validate such methods by proposing an
integrated toolchain based on deterministic channel modeling and radio
propagation simulation. The toolchain is demonstrated exemplary for scenario
classification to obtain localization-related channel parameters within an
aircraft cabin environment