How Should One Fit Channel Measurements to Fading Distributions for Performance Analysis? Fernández, Santiago Vega Sánchez, José David Galeote Cazorla, Juan E. López Martínez, Francisco Javier Channel fitting Fading Performance analysis Accurate channel modeling plays a pivotal role in optimizing communication systems, and fitting field measurements to stochastic models is crucial for capturing the key propagation features and to map these to achievable system performances. In this work, we shed light on what’s the most appropriate alternative for channel fitting, when the ultimate goal is performance analysis. Results show that likelihood-based and average-error metrics should be used with caution, since they can largely fail to predict outage probability measures. We show that supremum-error fitting metrics with tail awareness are more robust to estimate both ergodic and outage performance measures, even when they yield a larger average-error fitting. 2025-10-21T11:03:03Z 2025-10-21T11:03:03Z 2025-07-31 journal article S. Fernández, J. David Vega-Sánchez, J. E. Galeote-Cazorla and F. J. López-Martínez, "How Should One Fit Channel Measurements to Fading Distributions for Performance Analysis?," in IEEE Communications Letters, vol. 29, no. 10, pp. 2331-2335, Oct. 2025, doi: 10.1109/LCOMM.2025.3594554 https://hdl.handle.net/10481/107245 10.1109/LCOMM.2025.3594554 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional IEEE