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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    Title :

    Feedback Compression for Correlated Broadcast Channels


    Contributors:


    Publication date :

    2007-11-01


    Size :

    2201833 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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