Selecting an optimal set of transmit antennas for a low rank matrix channel
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Optimal transmitter eigen-beamforming and space-time block coding based on channel mean feedback
IEEE Transactions on Signal Processing
Optimal designs for space-time linear precoders and decoders
IEEE Transactions on Signal Processing
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
Systematic design of unitary space-time constellations
IEEE Transactions on Information Theory
Combining beamforming and orthogonal space-time block coding
IEEE Transactions on Information Theory
Bounds on packings of spheres in the Grassmann manifold
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
Robust precoder adaptation for MIMO links with noisy limited feedback
IEEE Transactions on Information Theory
Precoded spatial multiplexing systems in the presence of feedback delay using Kalman filter
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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Multiple-input multiple-output (MIMO) spatial multiplexing wireless systems achieve high spectral efficiencies by demultiplexing the incoming bit stream into multiple sub streams. Spatial multiplexing is of practical importance because the multiple substreams can be decoded using linear receivers. Unfortunately, this reduction in complexity degrades the probability of error performance. To overcome this difficulty, error rate performance of spatial multiplexing systems can be improved by sending fewer substreams than the number of transmit antennas by linear pre coding. Criteria have been proposed for designing these pre coders when complete channel knowledge is available to the transmitter. The assumption of complete channel knowledge is often unrealistic in many communication systems such as those with low rate feedback channels. Thus a quantized precoding scheme is proposed where the receiver sends back a fixed number of bits to the transmitter. This bit pattern corresponds to an index within a finite set of precoding matrices. A previously proposed criterion is used to determine the matrix in this precoder codebook to choose. A design methodfor these codebooks using techniques from Grassmannian subspace packing is presented. Simulation results show this technique outperforms typical antenna selection.