Simulation of MIMO channel capacity with antenna polarization diversity
IEEE Transactions on Wireless Communications
Channel parameter estimation in mobile radio environments using the SAGE algorithm
IEEE Journal on Selected Areas in Communications
Effect of antenna polarization on the capacity of a multiple element system in an indoor environment
IEEE Journal on Selected Areas in Communications
Reduced complexity channel models for IMT-advanced evaluation
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
Polarization rotation evaluation for macrocell MIMO channel
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Intercell interference measured in urban areas
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Polarization measurements and modeling in indoor NLOS environments
IEEE Transactions on Wireless Communications
Performance Evaluation of Interference Bound Backhaul Links in High Capacity Wireless Networks
Wireless Personal Communications: An International Journal
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The polarization behavior of the mobile MIMO radio channel is analyzed from polarimetric double-directional channel measurements, which were performed in a macrocell rural environment in Tokyo. The recorded data comprise non-line-of-sight, obstructed line-of-sight, and line-of-sight conditions. The gradient-based maximum-likelihood estimation framework RIMAX was used to estimate both specular and dense multipath components. Joint angular-delay results are gained only for the specular components. The dense multipath components, which may be attributed to diffuse scattering, can be characterized only in delay domain. Different characteristics describing the polarization behavior and power-weighted cross- and copolarization ratios for both types of components are introduced. Statistical analysis of long measurement track segments indicates global trends, whereas local analysis emphasizes specific behavior such as polarization dependency on angle of incidence in streets and under shadowing conditions. The results also underline the importance of modeling changing and transient propagation scenarios which are currently not common in available MIMO channel models.