Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Robust Signal Processing for Wireless Communications No. 2
Robust Signal Processing for Wireless Communications No. 2
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
Capacity and lattice strategies for canceling known interference
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Communication Over MIMO Broadcast Channels Using Lattice-Basis Reduction
IEEE Transactions on Information Theory
Multi-user Multi-stream Vector Perturbation Precoding
Wireless Personal Communications: An International Journal
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In multiple-input multiple-output (MIMO) broadcast channels, the basestation transmits information to multiple noncooperative users simultaneously. With perfect channel state information (CSI) at the basestation, 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.