Paper Info
Title
Effects of imperfect channel state information on achievable rates of precoded multi-user MIMO broadcast channels with limited feedback
Abstract
We consider multi-user MIMO broadcast channels with limited feedback. A recently proposed linear precoding technique, regularized block diagonalization (RBD), is used to mitigate multi-user interference. We assume that each receiver has estimated channel state information (CSI) via downlink training and independently quantizes its channel by using an efficient channel quantization scheme that we propose in this paper. The transmitter acquires the quantized CSI from each receiver through a noiseless and delayed feedback channel. The achievable rates are studied under these assumptions. We derive an upper bound for the rate loss compared to the case that the transmitter has perfect CSI and quantify the impact of channel estimation errors, quantization errors, and outdated quantized CSI on the rate loss. Furthermore, we provide an expression of the number of feedback bits needed per user to maitain that bound. It is found that the delay of the feedback is the predominant cause of performance degradation in the case of rapidly changing channel impluse response.
Year
DOI
Venue
2009
10.1109/ICC.2009.5198965
ICC
Keywords
Field
DocType
rate loss,channel estimation error,precoded multi-user mimo broadcast,multi-user mimo broadcast channel,feedback bit,outdated quantized csi,channel state information,limited feedback,efficient channel quantization scheme,channel impluse response,achievable rate,imperfect channel state information,delayed feedback channel,transient response,quantization,mathematical model,quantization error,interference,broadcasting,upper bound,magnetic resonance imaging,mimo,feedback,transmitters
Transmitter,Multi-user MIMO,Control theory,Computer science,Communication channel,MIMO,Quantization (signal processing),Precoding,Channel state information,Telecommunications link
Conference
ISSN
Citations 
PageRank 
1550-3607
8
0.57
References 
Authors
6
2
Name
Order
Citations
PageRank
Bin Song1303.79
Martin Haardt23531311.32