Vector quantization and signal compression
Vector quantization and signal compression
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
Quantization Methods for Equal Gain Transmission With Finite Rate Feedback
IEEE Transactions on Signal Processing
GLRT-Optimal Noncoherent Lattice Decoding
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Wireless Communications
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Spectrally efficient noncoherent communication
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Achieving the Welch bound with difference sets
IEEE Transactions on Information Theory
Signature optimization for CDMA with limited feedback
IEEE Transactions on Information Theory
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
IEEE Transactions on Information Theory
Blind detection of PAM and QAM in fading channels
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Quantization Bounds on Grassmann Manifolds and Applications to MIMO Communications
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
Performance of vector perturbation multiuser MIMO systems with limited feedback
IEEE Transactions on Communications
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
MIMO precoding with limited rate feedback: simple quantizers work well
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Reflected simplex codebooks for limited feedback MIMO beamforming
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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This paper considers the problem of beamforming in multiple-input multiple-output (MIMO) wireless systems. Assuming perfect channel state information at the receiver, the choice of the beamforming vector is made possible through a noiseless limited-rate feedback of one or more bits per coefficient to the transmitter. This paper proposes the use of beamforming codebooks based on quadrature amplitude modulation (QAM) and phase-shift keying (PSK) constellations, which essentially eliminates the need for storage of the codebook. We show that such codebooks perform arbitrarily close to the perfect feedback case as the constellation size increases, and that full diversity order is achieved. We demonstrate an equivalence between the beamforming codebook search problem with that of noncoherent sequence detection. Based on this we propose fast beamforming vector search algorithms. Monte-Carlo simulations are presented to show that the performance is comparable to the best known codebooks, and that the search complexity can be reduced by several orders of magnitude.