Generation of 2D correlated random shadowing based on the deterministic MR-FDPF model

Meiling Luo (1) , Guillaume Villemaud (1) , Jean-Marie Gorce (1)

1 SOCRATE - Software and Cognitive radio for telecommunications

In modern mobile telecommunications, shadow fading has to be modeled by a two-dimensional (2D) correlated random variable since shadow fading may present both cross-correlation and spatial correlation due to the presence of similar obstacles during the propagation. In this paper, 2D correlated random shadowing is generated based on the multi-resolution frequency domain ParFlow (MR-FDPF) model. The MR-FDPF model is a 2D deterministic radio propagation model, so a 2D deterministic shadowing can be firstly extracted from it. Then, a 2D correlated random shadowing can be generated by considering the extracted 2D deterministic shadowing to be a realization of it. Moreover, based on the generated 2D correlated random shadowing, a complete 2D semi-deterministic path loss model can be proposed. The proposed methodology of this paper can be implemented into system-level simulators where it will be very useful due to its ability to generate realistic shadow fading.

Mots clés: Correlated shadowing; Indoor radio propagation; Large scale propagation; Semi-deterministic model; Small scale fading

Domaines: Réseaux et télécommunications [cs.NI]

Meiling Luo, Guillaume Villemaud, Jean-Marie Gorce. Generation of 2D correlated random shadowing based on the deterministic MR-FDPF model. EURASIP Journal on Wireless Communications and Networking, 2015, 208, ⟨10.1186/s13638-015-0434-y⟩. ⟨hal-01244692⟩