Multiplexing two information sources over fading channels: a cross-layer design perspective
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Decision-directed recursive least squares MIMO channels tracking
EURASIP Journal on Wireless Communications and Networking
Optimizing training lengths and training intervals in time-varying fading channels
IEEE Transactions on Signal Processing
On the capacity and energy efficiency of training-based transmissions over fading channels
IEEE Transactions on Information Theory
On the pilot spacing constraints for continuous time-varying fading channels
IEEE Transactions on Communications
Data detection and Kalman estimation for multiple space-time trellis codes
IEEE Transactions on Communications
Mutual information bounds for MIMO channels under imperfect receiver CSI
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Multimode flex-interleaver core for baseband processor platform
Journal of Computer Systems, Networks, and Communications - Special issue on WiMAX, LTE, and WiFi interworking
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The achievable rate of a coherent coded modulation digital communication system with data-aided channel estimation and a discrete equiprobable symbol alphabet is derived under the assumption that the system operates on a flat fading multiple-input/multiple-output channel and uses a perfect interleaver to combat the bursty nature of the channel. It is shown that linear minimum mean square error channel estimation directly follows from the derivation and links average mutual information to the channel dynamics. Based on the assumption that known training symbols are transmitted, the achievable rate of the system is optimized with respect to the amount of training information needed