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Adapting Side Information to Transmission Conditions in Precoding Systems

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Biomedical Applications Based on Natural and Artificial Computing (IWINAC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10338))

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Abstract

This work proposes an hybrid precoding method in a Multiple-Input/Multiple-Output Frequency Division Duplex (MIMO FDD) system with the objective of reducing the load associated to transmit side information needed to adapt precoding matrices in both the transmitter and the receiver. The type of precoding is determined at the transmitter by using a simple rule that takes into account a receive Signal–to–Noise Ratio (SNR) estimate. The receiver computes the magnitude of the channel level fluctuations and determines the time instants when long pilot sequences are needed to estimate the precoding matrices. Using a low cost feedback channel, the receiver indicates to the transmitter both the type of precoder and transmit frames to be used.

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Acknowledgments

This work has been funded by the Galician Government under grants ED431C 2016-045 and ED341D R2016/012 as well as by the Spanish Government under grants TEC2013-47141-C4-1-R (RACHEL project) and TEC2016-75067-C4-1-R (CARMEN project).

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Authors and Affiliations

  1. Department of Computer Engineering, University of A Coruña, Campus de Elviña 8, 15071, A Coruña, Spain

    Josmary Labrador, Paula M. Castro, Adriana Dapena & Francisco J. Vazquez-Araujo

Authors
  1. Josmary Labrador
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  2. Paula M. Castro
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  3. Adriana Dapena
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  4. Francisco J. Vazquez-Araujo
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Corresponding author

Correspondence to Paula M. Castro .

Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

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Labrador, J., Castro, P.M., Dapena, A., Vazquez-Araujo, F.J. (2017). Adapting Side Information to Transmission Conditions in Precoding Systems. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_32

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  • DOI: https://doi.org/10.1007/978-3-319-59773-7_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59772-0

  • Online ISBN: 978-3-319-59773-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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