Conference Proceeding

Feedback Compression for Correlated Broadcast Channels

TU Delft, Delft
12/2007; DOI:10.1109/SCVT.2007.4436258 ISBN: 978-1-4244-1369-0 pp.1 - 4 In proceeding of: Communications and Vehicular Technology in the Benelux, 2007 14th IEEE Symposium on
Source: IEEE Xplore

ABSTRACT In this paper we apply predictive vector quantization (PVQ) to quantize time-correlated broadcast channels. PVQ exploits the time-correlation of the channel to reduce the quantization error of the channels, and thus to improve the sum rate of the system. PVQ predicts the actual channel based on a number of previous channels, and then quantizes the difference between the prediction and the true channel. In this paper we show how the corresponding codebooks can be designed, and we present a prediction strategy. The performance of PVQ for a broadcast system is depicted through numerical simulations.

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Keywords

actual channel
 
broadcast system
 
channels
 
corresponding codebooks
 
numerical simulations
 
prediction strategy
 
predictive vector quantization
 
previous channels
 
quantization error
 
quantize time-correlated broadcast channels
 
quantizes
 
sum rate
 
time-correlation
 
true channel
 

C. Simon