Multiplexing two information sources over fading channels: a cross-layer design perspective
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Performance analysis of linear codes under maximum-likelihood decoding: a tutorial
Communications and Information Theory
On the throughput of opportunistic beamforming with imperfect CSI
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A Design of Segmented Data Rates for Recurrent Channel Estimation
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On the outage capacity of a practical decoder accounting for channel estimation inaccuracies
IEEE Transactions on Communications
Mutual information of multipath channels with imperfect channel information
IEEE Transactions on Communications
Maximum likelihood receivers for space-time coded MIMO systems with Gaussian estimation errors
IEEE Transactions on Communications
Optimal decoder for channels with estimation errors
IEEE Transactions on Wireless Communications
Design criterion and construction methods for partially coherent multiple antenna constellations
IEEE Transactions on Wireless Communications
On the capacity and energy efficiency of training-based transmissions over fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Outage behavior of discrete memoryless channels under channel estimation errors
IEEE Transactions on Information Theory
Throughput loss in task scheduling due to server state uncertainty
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
What is the value of joint processing of pilots and data in block-fading channels?
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
The impact of hard-decision detection on the energy efficiency of phase and frequency modulation
IEEE Transactions on Wireless Communications
Outage probability of multiple-input single-output (MISO) systems with delayed feedback
IEEE Transactions on Communications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Multiuser MIMO achievable rates with downlink training and channel state
IEEE Transactions on Information Theory
Wideband fading channel capacity with training and partial feedback
IEEE Transactions on Information Theory
A unified treatment of optimum pilot overhead in multipath fading channels
IEEE Transactions on Communications
A new training protocol for channel state estimation in wireless relay networks
IEEE Transactions on Signal Processing
Linear universal decoding for compound channels
IEEE Transactions on Information Theory
Optimizing average performance of OFDM systems using limited-rate feedback
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Channel capacity bounds in the presence of quantized channel state information
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On bandlimited fading channels at high SNR
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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The analysis of flat-fading channels is often performed under the assumption that the additive noise is white and Gaussian, and that the receiver has precise knowledge of the realization of the fading process. These assumptions imply the optimality of Gaussian codebooks and of scaled nearest-neighbor decoding. Here we study the robustness of this communication scheme with respect to errors in the estimation of the fading process. We quantify the degradation in performance that results from such estimation errors, and demonstrate the lack of robustness of this scheme. For some situations we suggest the rule of thumb that, in order to avoid degradation, the estimation error should be negligible compared to the reciprocal of the signal-to-noise ratio (SNR)