Measurement-based stochastic modeling for co-existing propagation channels in cooperative relay scenarios

In this contribution, a measurement campaign conducted recently in Korea is described where multiple propagation channels co-existing in cooperative relay communication scenarios are measured simultaneously. The cross-correlation of the large-scale parameters of the co-existing channels are calculated. Stochastic models are established which reveal the variation behavior of the cross-correlation of shadow-fading, K-factor, delay spreads, azimuth spreads of arrival and of departure, with respect to parameters characterizing the geometrical constellation of the mobile station, relay and base stations in outdoor environments. These empirical models can be used together with the conventional time-delay-line models and the spatial channel models for simulating realistic multi-link channels in cooperative communication scenarios.