Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Estimation and equalization of fading channels with random coefficients
Signal Processing - Special issue on higher order statistics
Microwave Mobile Communications
Microwave Mobile Communications
Fundamentals of wireless communication
Fundamentals of wireless communication
Pilot-based estimation of time-varying multipath channels forcoherent CDMA receivers
IEEE Transactions on Signal Processing
Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Estimation of continuous flat fading MIMO channels
IEEE Transactions on Wireless Communications
Autoregressive modeling for fading channel simulation
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Achievable rate of MIMO channels with data-aided channel estimation and perfect interleaving
IEEE Journal on Selected Areas in Communications
On the pilot spacing constraints for continuous time-varying fading channels
IEEE Transactions on Communications
Grassmannian predictive coding for delayed limited feedback MIMO systems
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Multi-frame distributed protocol for analog network coding in slow-fading channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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In time-varying faded channels the transmissions are organized into frames where the channel estimation is mainly training-based. The optimal design of the training structure is formulated here by finding the training length (the optimal number of contiguous pilots) and the training interval (the interval among two successive training phases) to maximize system throughput. The optimal balance of training and payload depends on the combination of Doppler frequency and frame length. The level of the signal to noise ratio and the fading dynamics constrain the quality of the estimate from training. It is shown that the length of the training can be conveniently traded for lower training intervals to reduce the estimate out-dating. For fast-varying fading and for high enough signal to noise ratio, there is a definite advantage in fragmenting the frame with dispersed segments of training symbols of smaller length rather than having a highly reliable channel estimate by concentrating all the training symbols at the beginning of the frame. Extensive simulations corroborate the design criteria. System throughput is maximized either for noisy binary transmission and for Gaussian input symbol distribution (i.e., by using information theoretic analysis).