Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Microwave Mobile Communications
Microwave Mobile Communications
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
The 802.11n MIMO-OFDM Standard for Wireless LAN and Beyond
Wireless Personal Communications: An International Journal
On the capacity of frequency- selective channels in training-based transmission schemes
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Simplified channel estimation for OFDM systems with multiple transmit antennas
IEEE Transactions on Wireless Communications
Optimal placement of known symbols for slowly varying frequency-selective channels
IEEE Transactions on Wireless Communications
Optimum pilot pattern for channel estimation in OFDM systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Optimal placement of training for frequency-selective block-fading channels
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Consumer Electronics
Pilot tone selection for channel estimation in a mobile OFDM system
IEEE Transactions on Consumer Electronics
Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels
IEEE Journal on Selected Areas in Communications
Pilot design of MIMO-OFDM with beamforming
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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An analytical framework is established to dimension the pilot grid for MIMO-OFDM operating in time-variant frequency selective channels. The optimum placement of pilot symbols in terms of overhead and power allocation is identified that maximizes the training-based capacity for MIMO-OFDM schemes without channel knowledge at the transmitter. For pilot-aided channel estimation (PACE) with perfect interpolation, we show that the maximum capacity is achieved by placing pilots with maximum equidistant spacing given by the sampling theorem, if pilots are appropriately boosted. Allowing for realizable and possibly sub-optimum estimators where interpolation is not perfect, we present a semianalytical method which finds the best pilot allocation strategy for the particular estimator.