DocumentCode
27189
Title
Ensemble Properties of RVQ-Based Limited-Feedback Beamforming Codebooks
Author
Raghavan, Varsha ; Veeravalli, Venugopal V.
Author_Institution
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Volume
59
Issue
12
fYear
2013
fDate
Dec. 2013
Firstpage
8224
Lastpage
8249
Abstract
The ensemble properties of random vector quantization (RVQ) codebooks for limited-feedback beamforming in multiinput multioutput (MIMO) systems are studied with the metrics of interest being the received ssr SNR loss and mutual information loss, both relative to a perfect channel state information (CSI) benchmark. The simplest case of unskewed codebooks is first studied in the correlated MIMO setting and these loss metrics are computed as a function of the number of bits of feedback ( B), transmit antenna dimension ( Nt), and spatial correlation. In particular, it is established that: 1) the loss metrics are a product of two components-a quantization component and a channel-dependent component; 2) the quantization component, which is also common to analysis of channels with i.i.d. fading, decays as B increases at the rate 2-B/(Nt-1); 3) the channel-dependent component reflects the condition number of the channel. Further, the precise connection between the received ssr SNR loss and the squared singular values of the channel is shown to be a Schur-convex majorization relationship. Finally, the ensemble properties of skewed codebooks that are generated by skewing RVQ codebooks with an appropriately designed fixed skewing matrix are studied. Based on an estimate of the loss expression for skewed codebooks, it is established that the structure of a good skewing matrix is critically dependent on the condition numbers of the effective channel (product of the true channel and the skewing matrix) and the skewing matrix.
Keywords
MIMO communication; array signal processing; convex programming; transmitting antennas; wireless channels; CSI benchmark; MIMO systems; RVQ based limited feedback beamforming codebooks; Schur-convex majorization relationship; channel state information; ensemble properties; multiinput multioutput systems; random vector quantization; skewing matrix; spatial correlation; transmit antenna dimension; Array signal processing; Correlation; MIMO; Measurement; Random variables; Signal to noise ratio; Vectors; Adaptive signaling; MIMO; beamforming; information rates; limited feedback; multiantenna systems; precoding; spatial correlation;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2013.2283719
Filename
6612687
Link To Document