Multimode precoding for MIMO wireless systems

• Published in: IEEE transactions on signal processing Vol. 53; no. 10; pp. 3674 - 3687
• Main Authors: Love, D.J., Heath, R.W.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-10-2005; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Applied sciences; Computer simulation; Design methodology; Detection, estimation, filtering, equalization, prediction; Diversity methods; Error analysis; Errors; Exact sciences and technology; Feedback; Gain; Information, signal and communications theory; MIMO; MIMO systems; Monte Carlo methods; Multiplexing; Performance gain; quantized precoding; Rayleigh channels; Receivers; Receiving antennas; Signal and communications theory; Signal design; Signal, noise; spatial multiplexing; Studies; Telecommunications and information theory; Transmitters; Transmitting antennas; Fading channels; Performance evaluation; MIMO system; Monte Carlo method; quantized precoding; Wireless telecommunication; Rayleigh channels; Error rate; Information rate; Transmitter; Diversity methods; Spatial multiplexing; Signalling; Information transmission; Beam forming; MIMO systems; Codebook; Numerical simulation; Antenna array; Large scale system; High rate transmission
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2005.855107

Multiple-input multiple-output (MIMO) wireless systems obtain large diversity and capacity gains by employing multielement antenna arrays at both the transmitter and receiver. The theoretical performance benefits of MIMO systems, however, are irrelevant unless low error rate, spectrally efficient signaling techniques are found. This paper proposes a new method for designing high data-rate spatial signals with low error rates. The basic idea is to use transmitter channel information 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 that these substreams can be designed to obtain full diversity and full rate gain using feedback from the receiver to transmitter. We model the feedback using 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.