NDLI: Limited feedback precoding for spatial multiplexing systems using linear receivers

Content Provider	IEEE Xplore Digital Library
Author	Love, D.J. Heath Jr., R.W.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA (Love, D.J.; Heath, R.W., Jr.)
Abstract	Multiple-input multiple-output (MIMO) spatial multiplexing wireless systems achieve high spectral efficiencies by demultiplexing the incoming bit stream into multiple substreams. Spatial multiplexing is of practical importance because the multiple substreams can be decoded using linear receivers. Unfortunately, this reduction in complexity degrades the probability of error performance. To overcome this difficulty, error rate performance of spatial multiplexing systems can be improved by sending fewer substreams than the number of transmit antennas by linear preceding. Criteria have been proposed for designing these precoders when complete channel knowledge is available to the transmitter. The assumption of complete channel knowledge is often unrealistic in many communication systems such as those with low rate feedback channels. Thus a quantized preceding scheme is proposed where the receiver sends back a fixed number of bits to the transmitter. This bit pattern corresponds to an index within a finite set of preceding matrices. A previously proposed criterion is used to determine the matrix in this precoder codebook to choose. A design method for these codebooks using techniques from Grassmannian subspace packing is presented. Simulation results show this technique outperforms typical antenna selection.
Starting Page	627
Ending Page	632
File Size	400956
Page Count	6
File Format	PDF
ISBN	0780381408
DOI	10.1109/MILCOM.2003.1290176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feedback MIMO Transmitters Maximum likelihood decoding Transmitting antennas Array signal processing Vectors Resistance heating Heat engines Degradation
Content Type	Text
Resource Type	Article

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