Multi-mode precoding using linear receivers for limited feedback MIMO systems
- 1 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 448-452
- https://doi.org/10.1109/icc.2004.1312529
Abstract
Multiple-input multiple-output (MIMO) wireless systems obtain large diversity and capacity gains by employing multi-element antenna arrays at both transmitter and receiver. The theoretical performance benefits, however, are irrelevant unless low error rate, high spectral efficiency spatio-temporal signaling techniques are found. Most work in space-time coding concentrates on either designing low error rate codes or high data-rate codes but not both simultaneously. This paper proposes a new method for designing high data-rate spatio-temporal signals with low error rates. The basic idea is to use transmitter channel information in the form of limited feedback to adaptively vary the transmission scheme for a fixed data-rate. This adaptation is done by varying the number of substreams and the rate of each substream in a precoded spatial multiplexing system. We show how this method can be implemented in a limited feedback scenario where only finite sets, or codebooks, of possible precoding configurations are known to both the transmitter and receiver. Monte Carlo simulations show substantial performance gains over beamforming and spatial multiplexing.Keywords
This publication has 17 references indexed in Scilit:
- Limited feedback precoding for spatial multiplexing systems using linear receiversPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Dual-mode antenna selection for spatial multiplexing systems with linear receiversPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Limited feedback precoding for spatial multiplexing systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Grassmannian beamforming for multiple-input multiple-output wireless systemsIEEE Transactions on Information Theory, 2003
- On beamforming with finite rate feedback in multiple-antenna systemsIEEE Transactions on Information Theory, 2003
- Selecting an optimal set of transmit antennas for a low rank matrix channelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Optimal designs for space-time linear precoders and decodersIEEE Transactions on Signal Processing, 2002
- Antenna selection for spatial multiplexing systems with linear receiversIEEE Communications Letters, 2001
- Vector Quantization and Signal CompressionPublished by Springer Nature ,1992
- Distributions of Matrix Variates and Latent Roots Derived from Normal SamplesThe Annals of Mathematical Statistics, 1964