Cluster Characterization of 3-D MIMO Propagation Channel in an Urban Macrocellular Environment

Seun Sangodoyin, Vinod Kristem, C. Umit Bas, Martin Käske, Juho Lee, Christian Schneider, Gerd Sommerkorn, Charlie Jianzhong Zhang, Reiner S. Thomä, Andreas F. Molisch

IEEE Transactions on Wireless Communications · 2018 · 42 citations · 61 references

Concepts

TL;DR

Characterizing 3‑D multipath parameters in outdoor urban macrocellular channels is essential for designing next‑generation massive MIMO systems. The study conducts an extensive measurement campaign of 3‑D outdoor propagation channels in an urban macrocellular environment. Measurements were taken with a 20 MHz wideband polarimetric MIMO channel sounder at 2.53 GHz, MPCs were extracted via the RIMAX iterative maximum‑likelihood algorithm, and their physical propagation mechanisms were interpreted as waveguiding, over‑the‑rooftop propagation, and far‑field scattering. MPCs exhibit clustering in temporal and spatial domains, with intra‑ and inter‑cluster parameters and statistics provided, while diffuse MPCs comprise a moderate portion of the energy and are statistically characterized.

Abstract

Multidimensional characterization of outdoor urban macrocellular propagation channels is essential for the analysis and design of next-generation (5G and beyond) cellular massive MIMO (multiple-input-multiple-output) systems. Since most massive MIMO arrays will extend in two or three dimensions, an understanding of 3-D parameters (i.e., azimuth and elevation) of the multipath components (MPCs) is required. This paper presents an extensive measurement campaign for 3-D outdoor propagation channels in an urban macrocellular environment. Measurements were performed with a 20 MHz wideband polarimetric MIMO channel sounder centered at 2.53 GHz and MPCs were extracted using RIMAX-an iterative maximum likelihood algorithm. The physical propagation mechanisms of the observed discrete MPCs are explained in terms of waveguiding, over-the-rooftop propagation, and scattering by far-away objects. MPCs exhibit clustering in the temporal and spatial domains; both intra- and inter-cluster parameters and their relevant statistics are provided. We also extract diffuse MPCs, show that they can comprise a moderate portion of the overall energy, and provide a statistical characterization.

References

61