  This paper presents an experimental validation for prediction of rare fading
events using channel distribution information (CDI) maps that predict channel
statistics from measurements acquired at surrounding locations using spatial
interpolation. Using experimental channel measurements from 127 locations, we
demonstrate the use case of providing statistical guarantees for rate selection
in ultra-reliable low-latency communication (URLLC) using CDI maps. By using
only the user location and the estimated map, we are able to meet the desired
outage probability with a probability between 93.6-95.6% targeting 95%. On the
other hand, a model-based baseline scheme that assumes Rayleigh fading meets
the target outage requirement with a probability of 77.2%. The results
demonstrate the practical relevance of CDI maps for resource allocation in
URLLC.
