Title
Joint beamforming for multiaccess MIMO systems with finite rate feedback
Abstract
We consider multiaccess multiple-input multiple-output (MIMO) systems with finite rate feedback with the aim of understanding how to efficiently employ the given feedback resource to maximize the sum rate. A joint quantization and feedback strategy is proposed: the base station selects the strongest users, jointly quantizes their strongest eigen-channel vectors and broadcasts a common feedback to all the users. This joint strategy differs from an individual strategy in which quantization and feedback are performed independently across users, and it improves upon the individual strategy in the same way that vector quantization improves upon scalar quantization. To analyze the proposed strategy, the effect of user selection is described by extreme order statistics, while the effect of joint quantization is quantified through what we term "the composite Grassmann manifold". The achievable sum rate is then estimated using random matrix theory providing an analytic benchmark for the performance.
Year
DOI
Venue
2008
10.1109/TWC.2009.080534
Wireless Communications, IEEE Transactions
Keywords
Field
DocType
base station,multiaccess mimo system,proposed strategy,joint beamforming,scalar quantization,vector quantization,joint beamforming scheme,statistical analysis,joint quantization,matrix algebra,quantisation (signal),joint quantization strategy,multiple-input multiple-output system,multi-access systems,limited feedback,array signal processing,feedback,wireless channels,individual strategy,common feedback,mimo communication,beamforming,joint strategy,composite grassmann manifold scheme,feedback resource,grassmann manifold,multiaccess channels,eigen-channel vector,matrix theory,feedback strategy,mimo,finite rate feedback,quantization,broadcasting,antennas,throughput,order statistic,covariance matrix,transmitters,random matrix theory,base stations
Beamforming,Base station,Control theory,MIMO,Algorithm,Real-time computing,Vector quantization,Covariance matrix,Order statistic,Quantization (signal processing),Data compression,Mathematics
Journal
Volume
Issue
ISSN
8
5
1536-1276
Citations 
PageRank 
References 
6
0.63
21
Authors
3
Name
Order
Citations
PageRank
Wei Dai1139091.40
Brian C. Rider260.63
Youjian Liu360549.82