Interference and throughput analyses in dual-polarized wireless networks subject to Rayleigh fading
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
On the possibility of applying polarization diversity to MIMO techniques in tunnels
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
IEEE Transactions on Wireless Communications
Polarization rotation evaluation for macrocell MIMO channel
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
2GHz band MIMO propagation measurement of dual polarized antennas in a residential area
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Polarization measurements and modeling in indoor NLOS environments
IEEE Transactions on Wireless Communications
Probabilistic coexistence and throughput of cognitive dual-polarized networks
EURASIP Journal on Wireless Communications and Networking - Special issue on dynamic spectrum access: from the concept to the implementation
Realistic performance and complexity of multi-antenna wireless communications systems
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Wireless Personal Communications: An International Journal
Performance Analysis of Adaptive Polarized MIMO Pre-RAKE Combined Transmit Diversity System in FDD
Wireless Personal Communications: An International Journal
Hi-index | 0.01 |
This paper presents outdoor propagation measurements together with derivative analysis, modeling, and simulation of the 2×2 fixed wireless multiple-input multiple-output (MIMO) channel. Experimental data were collected in the suburban residential areas of San Jose, CA, at 2.48 GHz by using dual-polarized antennas. Measurement results include the estimation of path loss, Rician K-factor, cross-polarization discrimination (CPD), correlation coefficients, and the MIMO channel capacity. An elaborate K-factor model that assumes variation over location, time, and frequency is developed. Distance-dependent CPD models of the variable and constant signal components are proposed. A generalized 2×2 MIMO channel model is then derived based on the correlation among the path loss, the copolarized K-factor, and the CPD's distribution of the constant and scattered signal components. Finally, the MIMO channel response is simulated using the newly developed model, and results are found to be well in agreement with measurements.