EURASIP Journal on Wireless Communications and Networking
Performance analysis of transmit beamforming for MISO systems with imperfect feedback
IEEE Transactions on Communications
On source transmission over MIMO channels with limited feedback
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Joint beamforming for multiaccess MIMO systems with finite rate feedback
IEEE Transactions on Wireless Communications
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
Automation and Remote Control
Packet error probability of a transmit beamforming system with imperfect feedback
IEEE Transactions on Signal Processing
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This paper considers the development of a general framework for the analysis of transmit beamforming methods in multiple-antenna systems with finite-rate feedback. Inspired by the results of classical high-resolution quantization theory, the problem of finite-rate quantized communication system is formulated as a general fixed-rate vector quantization problem with side information available at the encoder (or the quantizer) but unavailable at the decoder. The framework of the quantization problem is sufficiently general to include quantization schemes with general non-mean-squared distortion functions and constrained source vectors. Asymptotic distortion analysis of the proposed general quantization problem is provided by extending the vector version of the Bennett's integral. Specifically, tight lower and upper bounds of the average asymptotic distortion are proposed. Sufficient conditions for the achievability of the distortion bounds are also provided and related to corresponding classical fixed-rate quantization problems. The proposed general methodology provides a powerful analytical tool to study a wide range of finite-rate feedback systems. To illustrate the utility of the framework, we consider the analysis of a finite-rate feedback multiple-input single-output (MISO) beamforming system over independent and identically distributed (i.i.d.) Rayleigh flat-fading channels. Numerical and simulation results are presented that further confirm the accuracy of the analytical results