Performance evaluation of polarization diversity and space diversity under 3GPP channel model
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
Improving MIMO capacity with directive antennas for outdoor-indoor scenarios
IEEE Transactions on Wireless Communications
Wireless Personal Communications: An International Journal
A MIMO channel model for wireless personal area networks
IEEE Transactions on Wireless Communications
Limited feedback beamforming systems for dual-polarized MIMO channels
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
Spherical statistics and spatial correlation for multielement antenna systems
EURASIP Journal on Wireless Communications and Networking
Performance Analysis of Adaptive Polarized MIMO Pre-RAKE Combined Transmit Diversity System in FDD
Wireless Personal Communications: An International Journal
Capacity Performance of Polarized Distributed MIMO System on Rician Channel
Wireless Personal Communications: An International Journal
Modelling and Simulation in Engineering - Special issue on Modeling and Simulation of Mobile Radio Channels
Transmission Scheme for 2D Antenna Array MIMO Systems with Limited Feedback
Wireless Personal Communications: An International Journal
Antenna selection in polarized multiple input multiple output transmissions with mutual coupling
Integrated Computer-Aided Engineering
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Fourth-generation (4G) systems are expected to support data rates of the order of 100 Mb/s in the outdoor environment and 1 Gb/s in the indoor/stationary environment. In order to support such large payloads, the radio physical layer must employ receiver algorithms that provide a significant increase in spectrum efficiency (and, hence, capacity) over current wireless systems. Recently, an explosion of multiple-input-multiple-output (MIMO) studies have appeared with many journals presenting special issues on this subject. This has occurred due to the potential of MIMO to provide a linear increase in capacity with antenna numbers. Environmental considerations and tower loads will often restrict the placing of large antenna spans on base stations (BSs). Similarly, customer device form factors also place a limit on the antenna numbers that can be placed with a mutual spacing of 0.5 wavelength. The use of cross-polarized antennas is widely used in modern cellular installations as it reduces spacing needs and tower loads on BSs. Hence, this approach is also receiving considerable attention in MIMO systems. In order to study and compare various receiver architectures that are based on MIMO techniques, one needs to have an accurate knowledge of the MIMO channel. However, very few studies have appeared that characterize the cross-polarized MIMO channel. Recently, the third-generation partnership standards bodies (3GPP/3GPP2) have defined a cross-polarized channel model for MIMO systems but this model neglects the elevation spectrum. In this paper, we provide a deeper understanding of the channel model for cross-polarized systems for different environments and propose a composite channel impulse model for the cross-polarized channel that takes into account both azimuth and elevation spectrum. We use the resulting channel impulse response to derive closed-form expressions for the spatial correlation. We also present models to describe the dependence of cross-polarization discrimination (XPD) on distance, azimuth and elevation and delay spread. In addition, we study the impact of array width, signal-to-noise ratio, and antenna slant angle on the mutual information (MI) of the system. In particular, we present an analytical model for large system mean mutual information va- lues and consider the impact of elevation spectrum on MI. Finally, the impact of multipath delays on XPD and MI is also explored.