Spectral efficiency of CDMA downlink cellular networks with matched filter
EURASIP Journal on Wireless Communications and Networking
Design issues for MIMO systems in various fading situations
Proceedings of the 2006 international conference on Wireless communications and mobile computing
A variational approach to the modeling of MIMO systems
EURASIP Journal on Wireless Communications and Networking
Survey of channel and radio propagation models for wireless MIMO systems
EURASIP Journal on Wireless Communications and Networking
Vector precoding in wireless communications: a replica symmetric analysis
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Spectral efficiency of CDMA downlink cellular networks with matched filter
EURASIP Journal on Wireless Communications and Networking
On the MIMO Channel Capacity Predicted by Kronecker and Müller Models
Wireless Personal Communications: An International Journal
The space frontier: physical limits of multiple antenna information transfer
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Improving MIMO capacity with directive antennas for outdoor-indoor scenarios
IEEE Transactions on Wireless Communications
An information-theoretic look at MIMO energy-efficient communications
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Asymptotic analysis of precoded small cell networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
MIMO channel estimation in correlated fading environments
IEEE Transactions on Wireless Communications
Concise derivation of scattering function from channel entropy maximization
IEEE Transactions on Communications
| Hi-index | 754.84 |
We devise theoretical grounds for constructing channel models for multiple-input multiple-output (MIMO) systems based on information-theoretic tools. The paper provides a general method to derive a channel model which is consistent with one's state of knowledge. The framework we give here has already been fruitfully explored with success in the context of Bayesian spectrum analysis and parameter estimation. For each channel model, we conduct an asymptotic analysis (in the number of antennas) of the achievable transmission rate using tools from random matrix theory. A central limit theorem is provided on the asymptotic behavior of the mutual information and validated in the finite case by simulations. The results are useful both in terms of designing a system based on criteria such as quality of service and in optimizing transmissions in multiuser networks.