Vector Perturbation Precoding for MIMO Broadcast Channel with Quantized Channel Feedback
Honolulu, HI（2009）
摘要
In multiple-input multiple-output (MIMO) broadcast channels, the base station transmits information to multiple noncooperative users simultaneously. With perfect channel state information (CSI) at the base station, vector perturbation (VP) precoding technique achieves full diversity order. In this paper, we study the symbol error rate (SER) performance of such systems with quantized channel feedback. The channel quantization is modeled by following the rate-distortion theory. Based on minimum mean square error (MMSE) criterion, we study the optimal design of precoding matrix and perturbation vector. Equivalent relations in terms of both MMSE and SER between quantized and perfect channel feedback cases are established, based on which we investigate the relation between feedback load and SER performance.
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关键词
base station,channel state information,mimo broadcast channel,broadcast channels,broadcast channel,precoding,quantized channel feedback,ser performance,symbol error rate,basestation transmits information,minimum mean square error criterion,feedback load,channel quantization,mimo communication,perturbation vector,precoding matrix optimal design,vector perturbation precoding technique,vector perturbation,perfect channel feedback case,minimum mean square error,perfect channel state information,multiple-input multiple-output broadcast channels,mean square error methods,matrices,optimal design,equivalence relation,quantization,mimo,signal to noise ratio,rate distortion theory
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