The COST 2100 Channel Model: Parameterization and Validation Based on Outdoor MIMO Measurements at 300 MHz

• Published in: IEEE transactions on wireless communications 2013-02, Vol.12 (2), p.888-897
• Main Authors: Meifang Zhu, Eriksson, G., Tufvesson, F.
• Format: Article
• Language: English
• Subjects: Antenna measurements; Antennas; Applied sciences; Channel model; Channel models; Clustering algorithms; Correlation; COST 2100; Delay; Detection, estimation, filtering, equalization, prediction; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik; Engineering and Technology; Exact sciences and technology; Information, signal and communications theory; MIMO; outdoor; parameterization; Radiocommunications; Shadow mapping; Signal and communications theory; Signal, noise; Systems, networks and services of telecommunications; Teknik; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Transmission and modulation (techniques and equipments); validation; Valuation and optimization of characteristics. Simulation
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2013.010413.120620

The COST 2100 channel model is a geometry-based stochastic channel model (GSCM) for multiple-input multiple-output (MIMO) simulations. This paper presents parameterization and validation of the channel model for peer-to-peer communication in the 300 MHz band. Measurements were carried out in outdoor environments for both line-of-sight (LOS) and non line-of-sight (NLOS) scenarios. The COST 2100 channel model is characterized and parameterized based on clusters. The KpowerMeans algorithm and a Kalman filter are used for identifying and tracking clusters from measurements. General issues regarding the parameterization of the channel model are analyzed in detail. A full set of single-link parameters for the channel model is extracted from the measurements. These parameters are used as the input to the channel model validation processes, targeting delay spread, spatial correlation, and singular value distribution as well as antenna correlation. The validation results show good agreement for the spatial correlation and singular value distribution between the channel model simulations and the 300 MHz outdoor measurements. Our findings suggest that the model has potential for modeling 300 MHz channels in outdoor environments, although some modifications are needed for the distribution of cluster delay spreads and the size of cluster visibility regions.