Elements of information theory
Elements of information theory
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
Wireless Communications Systems: Advanced Techniques for Signal Reception
Wireless Communications Systems: Advanced Techniques for Signal Reception
Eigenvalues and Condition Numbers of Complex Random Matrices
SIAM Journal on Matrix Analysis and Applications
Bit error performance of convolutional coded MIMO system with linear MMSE receiver
IEEE Transactions on Wireless Communications
Coding approaches for multiple antenna transmission in fast fading and OFDM
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals
IEEE Transactions on Signal Processing
Transmit signal design for optimal estimation of correlated MIMO channels
IEEE Transactions on Signal Processing
Space-time decoding with imperfect channel estimation
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Symbol detection in V-BLAST architectures under channel estimation errors
IEEE Transactions on Wireless Communications
Performance Analysis of MIMO System with Linear MMSE Receiver
IEEE Transactions on Wireless Communications - Part 2
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
On the distribution of SINR for the MMSE MIMO receiver and performance analysis
IEEE Transactions on Information Theory
Capacity and power allocation for fading MIMO channels with channel estimation error
IEEE Transactions on Information Theory
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For multiple-input multiple-output (MIMO) wireless communication system with minimum mean square error (MMSE) detection, a new scheme of power allocation between pilot and data symbols is investigated under MMSE channel estimation in this paper. First, we propose a novel soft-output MMSE MIMO detector by taking into consideration the channel estimation error. Then, through the application of randommatrix theorem, we propose an efficient scheme for power allocation between pilot and data symbols which maximizes the lower bound of postprocessing signal-to-interference-and-noise ratio (SINR) for MIMO systems with equal number of transmitter and receiver antennas. We have proven the existence and uniqueness of the proposed optimal power allocation settings. Furthermore, our analysis shows that the proposed power allocation is also valid and applicable for those MIMO systems with unequal number of transmitter and receiver antennas. Finally, our extensive simulation results have validated this novel power allocation scheme.