A diversity guarantee and SNR performance for unitary limited feedback MIMO systems
EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Wireless Communications
Performance of adaptive MIMO system based on beam-nulling
ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing
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
Quantized beamforming with channel prediction
IEEE Transactions on Wireless Communications
Optimal feedback allocation algorithms for multi-user uplink
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Capacity and performance of adaptive MIMO system based on beam-nulling
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Outage-efficient strategies for multiuser MIMO networks with channel distribution information
IEEE Transactions on Signal Processing
Differential feedback of MIMO channel gram matrices based on geodesic curves
IEEE Transactions on Wireless Communications
| Hi-index | 35.69 |
Multiple-input multiple-output (MIMO) wireless systems can achieve significant diversity and array gain by using single-stream transmit beamforming and receive combining. A MIMO beamforming system with feedback using a codebook based quantization of the beamforming vector allows practical implementation of such a strategy in a single-user scenario. The performance of this system in uncorrelated Rayleigh flat fading channels is studied from the point-of-view of signal-to-noise ratio (SNR) and outage probability. In this paper, lower bounds are derived on the expected SNR loss and the outage probability of systems that have a single receive antenna or two transmit antennas. For arbitrary transmit and receive antennas, approximations for the SNR loss and outage are derived. In particular, the SNR loss in a quantized MIMO beamforming system is characterized as a function of the number of quantization bits and the number of transmit and receive antennas. The analytical expressions are proved to be tight with asymptotically large feedback rate. Simulations show that the bounds and approximations are tight even at low feedback rates, thereby providing a benchmark for feedback system design