Active wireless sensing for rapid information retrieval in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Random matrix theory and wireless communications
Communications and Information Theory
Survey of channel and radio propagation models for wireless MIMO systems
EURASIP Journal on Wireless Communications and Networking
Performance analysis of OSTBC over generalized Gaussian MIMO channels
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Active wireless sensing: a versatile framework for information retrieval in sensor networks
IEEE Transactions on Signal Processing
Space-time duality in multiple antenna channels
IEEE Transactions on Wireless Communications
Physical limits to the capacity of wide-band Gaussian MIMO channels
IEEE Transactions on Wireless Communications
Statistical eigenmode transmission over jointly correlated MIMO channels
IEEE Transactions on Information Theory
A central limit theorem for the SINR at the LMMSE estimator output for large-dimensional signals
IEEE Transactions on Information Theory
IEEE Transactions on Wireless Communications
Pattern diversity for single RF user terminals in multiuser environments
IEEE Communications Letters
Parameterization of the MISO IFC rate region: the case of partial channel state information
IEEE Transactions on Wireless Communications
A novel coupling-based model for wideband MIMO channel
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
A MIMO channel model for wireless personal area networks
IEEE Transactions on Wireless Communications
Why does the Kronecker model result in misleading capacity estimates?
IEEE Transactions on Information Theory
Optimality of beamforming for MIMO multiple access channels via virtual representation
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
MIMO channel estimation in correlated fading environments
IEEE Transactions on Wireless Communications
A virtual MIMO channel representation and applications
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Random access heterogeneous MIMO networks
Proceedings of the ACM SIGCOMM 2011 conference
Wireless Personal Communications: An International Journal
| Hi-index | 35.99 |
Accurate and tractable channel modeling is critical to realizing the full potential of antenna arrays in wireless communications. Current approaches represent two extremes: idealized statistical models representing a rich scattering environment and parameterized physical models that describe realistic scattering environments via the angles and gains associated with different propagation paths. However, simple rules that capture the effects of scattering characteristics on channel capacity and diversity are difficult to infer from existing models. We propose an intermediate virtual channel representation that captures the essence of physical modeling and provides a simple geometric interpretation of the scattering environment. The virtual representation corresponds to a fixed coordinate transformation via spatial basis functions defined by fixed virtual angles. We show that in an uncorrelated scattering environment, the elements of the channel matrix form a segment of a stationary process and that the virtual channel coefficients are approximately uncorrelated samples of the underlying spectral representation. For any scattering environment, the virtual channel matrix clearly reveals the two key factors affecting capacity: the number of parallel channels and the level of diversity. The concepts of spatial zooming and aliasing are introduced to provide a transparent interpretation of the effect of antenna spacing on channel statistics and capacity. Numerical results are presented to illustrate various aspects of the virtual framework.