Channel modelling

In M5HESTIA we choose from the beginning of the project to exploit a channel simulator based on physical modeling with ray tracing which also preseve natively the important spatial structure of the channel.

In this project, we have provided a study aiming at a better modeling of small scatterers in the outdoor channel and integrated it in our PyLayers channel simulator [Bald19].

This Pylayers simulator has been exploited in the field of mmW channel estimation in the context of tracking position and orientation through mmW Lens Antenna Arrays (LAA) systems [Shah19].

This important work [Shah19] has demonstrated that in the accurate estimation of the AoA lies the key fo the effective application of LAAs, because the AoA allows for the correct selection of the DFT beam pointing the dominant path.
The large coherence time of the angular channel (AoA) allowing for significant simplification of the tracking phase.

Figure 1: indoor METIS model used in [Bald19]


[Bald19] M. D. Baldé, B. Uguen, A. Karttunen and K. Haneda, “Identification of Wave Scatterers in an Urban MicroCellular Environment at 32 GHz,” 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, 2018, pp. 1400-1404. doi: 10.1109/PIMRC.2018.8580683

[Shah19] A. Shahmansoori, B. Uguen, G. Destino, G. Seco-Granados and H. Wymeersch, “Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems,” in IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1222-1226, Aug. 2019. doi: 10.1109/LSP.2019.2925969

Comments are closed.