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FPGA-Based Cognitive Radio Platform with Reconfigurable Front-End and Antenna

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Computing Platforms for Software-Defined Radio

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Abstract

This chapter presents an FPGA-based SDR platform which serves as a proof-of-concept for cognitive radio techniques. The platform is based on a fully reconfigurable hardware and operates as a 12.8 Mbps RF-to-Ethernet bridge in the Industrial, Scientific, and Medical (ISM) bands of 868 MHz and 2.45 GHz. The data-processing algorithms of the platform are implemented in an FPGA using Xilinx’s System Generator rapid prototyping tool. A MicroBlaze processor is also included to control the dynamic partial reconfiguration of the FPGA for small in-band frequency changes. In order to achieve full-band reconfiguration, a commercial RF front-end and a custom reconfigurable antenna are integrated. Design and implementation details are presented, along with measurement results.

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Acknowledgements

This work has been partly supported by EFITRANS (ETORTEK) and CIIRCOS (PC2013-68) projects of the Basque Government (Spain), and by COWITRACC (TEC2014-59490-C2-2-P) project of the Spanish Ministry of Economy and Competitiveness.

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Authors and Affiliations

  1. ICT Department, IK4-IKERLAN, Arrasate-Mondragón, Spain

    Aitor Arriola, Pedro Manuel Rodríguez, Raúl Torrego, Félix Casado, Zaloa Fernández & Iñaki Val

  2. Electronics and Computing Department, University of Mondragón, Arrasate-Mondragón, Spain

    Mikel Mendicute & Eñaut Muxika

  3. Department of Electronics and Communications, CEIT and Tecnun - University of Navarra, San Sebastián, Spain

    Juan Ignacio Sancho

Authors
  1. Aitor Arriola
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  2. Pedro Manuel Rodríguez
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  3. Raúl Torrego
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  4. Félix Casado
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  5. Zaloa Fernández
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  6. Mikel Mendicute
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  7. Eñaut Muxika
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  8. Juan Ignacio Sancho
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  9. Iñaki Val
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Correspondence to Aitor Arriola .

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Editors and Affiliations

  1. Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland

    Waqar Hussain

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland

    Jari Nurmi

  3. Communication Systems laboratory, Department of Information Technology, University of Turku , Turku, Finland

    Jouni Isoaho

  4. Fraunhofer IIS , Nürnberg, Germany

    Fabio Garzia

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Arriola, A. et al. (2017). FPGA-Based Cognitive Radio Platform with Reconfigurable Front-End and Antenna. In: Hussain, W., Nurmi, J., Isoaho, J., Garzia, F. (eds) Computing Platforms for Software-Defined Radio. Springer, Cham. https://doi.org/10.1007/978-3-319-49679-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-49679-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49678-8

  • Online ISBN: 978-3-319-49679-5

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