Characterization of the Indoor/Outdoor to Indoor MIMO Radio Channel at 2.140 GHz
Wireless Personal Communications: An International Journal
MIMO Channel Characterization for Short Range Fixed Wireless Propagation Environments
Wireless Personal Communications: An International Journal
Random matrix theory and wireless communications
Communications and Information Theory
EURASIP Journal on Wireless Communications and Networking
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
RF-mobility gain: concept, measurement campaign, and exploitation
IEEE Wireless Communications
IEEE Transactions on Signal Processing
Distributed multicell and multiantenna precoding: characterization and performance evaluation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed multicell and multiantenna precoding: characterization and performance evaluation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On handover procedure with data forwarding for reducing buffered user data in base stations
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Transactions on Signal Processing
Why does the Kronecker model result in misleading capacity estimates?
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Statistical precoding with decision feedback equalization over a correlated MIMO channel
IEEE Transactions on Signal Processing
Impact of spatial correlation and precoding design in OSTBC MIMO systems
IEEE Transactions on Wireless Communications
Characterization and modeling of MIMO wireless channels based on correlation tensor
Computers & Mathematics with Applications
Primary weight measure and its support in stochastic routing for dynamic cognitive radio networks
Proceedings of the 1st ACM workshop on Cognitive radio architectures for broadband
Hi-index | 0.15 |
Narrowband multiple-input-multiple-output (MIMO) measurements using 16 transmitters and 16 receivers at 2.11 GHz were carried out in Manhattan. High capacities were found for full, as well as smaller array configurations, all within 80% of the fully scattering channel capacity. Correlation model parameters are derived from data. Spatial MIMO channel capacity statistics are found to be well represented by the separate transmitter and receiver correlation matrices, with a median relative error in capacity of 3%, in contrast with the 18% median relative error observed by assuming the antennas to be uncorrelated. A reduced parameter model, consisting of 4 parameters, has been developed to statistically represent the channel correlation matrices. These correlation matrices are, in turn, used to generate H matrices with capacities that are consistent within a few percent of those measured in New York. The spatial channel model reported allows simulations of H matrices for arbitrary antenna configurations. These channel matrices may be used to test receiver algorithms in system performance studies. These results may also be used for antenna array design, as the decay of mobile antenna correlation with antenna separation has been reported here. An important finding for the base transmitter array was that the antennas were largely uncorrelated even at antenna separations as small as two wavelengths.