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
Optimal training for time-selective wireless fading channels using cutoff rate
EURASIP Journal on Applied Signal Processing
Capacity of MIMO-OFDM with pilot-aided channel estimation
EURASIP Journal on Wireless Communications and Networking
Optimum pilot-to-data power ratio for partial RAKE receiver in nakagami-m fading channels
IEEE Transactions on Wireless Communications
Pilot design for OFDM with null edge subcarriers
IEEE Transactions on Wireless Communications
Optimized training and basis expansion model parameters for doubly-selective channel estimation
IEEE Transactions on Wireless Communications
On the capacity and energy efficiency of training-based transmissions over fading channels
IEEE Transactions on Information Theory
Design and analysis of successive decoding with finite levels for the Markov channel
IEEE Transactions on Information Theory
Full-rank and rank-deficient precoding schemes for single-carrier block transmissions
IEEE Transactions on Signal Processing
Pilot design of MIMO-OFDM with beamforming
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimum power loading for non-coherent frequency-selective relay channels
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
IEEE Transactions on Wireless Communications
Packet design for communication under asynchronous interference
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Full length article: Optimally balancing data and pilot power for adaptive MIMO-OFDM systems
Physical Communication
| Hi-index | 754.96 |
The problem of placing training symbols optimally for orthogonal frequency-division multiplexing (OFDM) and single-carrier systems is considered. The channel is assumed to be quasi-static with a finite impulse response of length (L + 1) samples. Under the assumptions that neither the transmitter nor the receiver knows the channel, and that the receiver forms a minimum mean square error (MMSE) channel estimate based on training symbols only, training is optimized by maximizing a tight lower bound on the ergodic training-based independent and identically distributed (i.i.d.) capacity. For OFDM systems, it is shown that the lower bound is maximized by placing the known symbols periodically in frequency. For single-carrier systems, under the assumption that the training symbols are placed in clusters of length α ≥ (2L + 1), it is shown that the lower bound is maximized by a family of placement schemes called QPP-α, where QPP stands for quasi-periodic placement. These placement schemes are formed by grouping the known symbols into as many clusters as possible and then placing these clusters periodically in the packet. For both OFDM and single-carrier systems, the optimum energy tradeoff between training and data is also obtained.