Utilize este identificador para referenciar este registo: http://hdl.handle.net/11144/3676
Título: Analytical characterization of CSI quantization effects on broadband multipath channels
Autor: Dinis, Rui
Teodoro, Sara
Gameiro, Atílio
Palavras-chave: Channel state information (CSI)
Precoding techniques
Nonlinear distortion
Data: 2016
Editora: ELSEVIER
Resumo: The knowledge of channel state information (CSI) at transmitter is crucial in precoding techniques to efficiently explore wireless multiuser multi-antenna capabilities namely to mitigate the interference and/or to separate spatial streams. For frequency division duplex systems, the CSI available is a quantized version fed back from the receivers, and the nonlinear effects associated to CSI quantization can lead to significant performance degradation. The knowledge of the statistical characteristics of those nonlinear distortion effects is important for performance evaluation purposes, as well to design robust precoding techniques. In this paper we consider a general broadband multipath channel sampled in the frequency domain and obtain the analytical statistical characterization of the nonlinear distortion effects associated to CSI quantization. Our analytical approach is valid for non-uniform quantizers, and it also includes quantizer saturation and channel oversampling effects. It provides a detailed statistical characterization in time and frequency domains, associated to the channel impulse and frequency responses, respectively. The derived theoretical statistical characterization of quantization distortion is validated by simulation, showing its high accuracy. As an application, we consider a multicarrier transmission employing a precoding technique with reduced feedback techniques employing a small number of quantization bits per channel sample.
Revisão por Pares: yes
URI: http://hdl.handle.net/11144/3676
metadata.dc.identifier.doi: 10.1016/j.dsp.2016.09.015
ISSN: 1051-2004
Versão do editor: https://www.sciencedirect.com/science/article/pii/S1051200416301683?via%3Dihub
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