A design framework for scalar feedback in MIMO broadcast channels
EURASIP Journal on Advances in Signal Processing
Feedback quantization for linear precoded spatial multiplexing
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Wireless Communications and Networking
On the problem of bandwidth partitioning in FDD block-fading single-user MISO/SIMO systems
EURASIP Journal on Advances in Signal Processing
Quantized transmit beamforming with antenna selection in a MIMO channel
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Performance analysis of transmit beamforming for MISO systems with imperfect feedback
IEEE Transactions on Communications
QAM and PSK codebooks for limited feedback MIMO beamforming
IEEE Transactions on Communications
Bit-interleaved coded multiple beamforming with imperfect CSIT
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Limited feedback design for MIMO broadcast channels with ARQ mechanism
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Robust precoder adaptation for MIMO links with noisy limited feedback
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Performance analysis of RVQ-based limited feedback beamforming codebooks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Time-domain transmit beamforming for MIMO-OFDM systems with finite rate feedback
IEEE Transactions on Communications
A fast encoding algorithm for a MIMO system with finite-bit feedback
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Adaptive codebook selection for limited feedback MIMO beamforming systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
QRD-based precoded MIMO-OFDM systems with reduced feedback
IEEE Transactions on Communications
A new beamforming for 60GHz wireless system with reduced feedback overhead
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Joint power control and beamforming codebook design for MISO channels with limited feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Beamforming in wireless relay-interference networks with quantized feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On MIMO beamforming systems using quantized feedback
IEEE Transactions on Communications
On distributed antenna systems with limited feedback precoding: opportunities and challenges
IEEE Wireless Communications
Optimal receive array beamforming for non-collaborative MIMO space division multiple access
IEEE Transactions on Communications
Packet error probability of a transmit beamforming system with imperfect feedback
IEEE Transactions on Signal Processing
Exploiting channel angular domain information for precoder design in distributed antenna systems
IEEE Transactions on Signal Processing
Optimization of training and feedback overhead for beamforming over block fading channels
IEEE Transactions on Information Theory
Channel capacity bounds in the presence of quantized channel state information
EURASIP Journal on Wireless Communications and Networking
International Journal of Internet Protocol Technology
Hi-index | 755.03 |
This paper investigates quantization methods for feeding back the channel information through a low-rate feedback channel in the context of multiple-input single-output (MISO) systems. We propose a new quantizer design criterion for capacity maximization and develop the corresponding iterative vector quantization (VQ) design algorithm. The criterion is based on maximizing the mean-squared weighted inner product (MSwIP) between the optimum and the quantized beamforming vector. The performance of systems with quantized beamforming is analyzed for the independent fading case. This requires finding the density of the squared inner product between the optimum and the quantized beamforming vector, which is obtained by considering a simple approximation of the quantization cell. The approximate density function is used to lower-bound the capacity loss due to quantization, the outage probability, and the bit error probability. The resulting expressions provide insight into the dependence of the performance of transmit beamforming MISO systems on the number of transmit antennas and feedback rate. Computer simulations support the analytical results and indicate that the lower bounds are quite tight