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Link Adaptation Algorithms for Dual Polarization Mobile Satellite Systems

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Wireless and Satellite Systems (WiSATS 2017)

Abstract

The use of dual polarization in mobile satellite systems is very promising as a means for increasing the transmission capacity. In this paper a system which uses simultaneously two orthogonal polarizations in order to communicate with the users is studied. The application of MIMO signal processing techniques along with Adaptive Coding and Modulation in the forward link can provide remarkable throughput gains up to 100% when compared with the single polarization system. The gateway is allowed to vary the MIMO and Modulation and Coding Schemes for each frame. The selection is done by means of a link adaptation algorithm which uses a tunable margin to achieve a predefined target Frame Error Rate.

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Acknowledgements

This work was partially funded by the Agencia Estatal de Investigación (Spain) and the European Regional Development Fund under project MYRADA (TEC2016-75103-C2-2-R). Also funded by the Xunta de Galicia (Secretaría Xeral de Universidades) under a predoctoral scholarship (co-funded by the European Social Fund) and under Agrupación Estratéxica Consolidada de Galicia accreditation 2016–2019 (co-funded by the European Regional Development Fund - ERDF). Part of the research was done during a stay at the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) supported by the project SatNEx-IV, co-funded by the European Space Agency (ESA). This work has also received funding from the Spanish Ministry of Economy and Competitiveness (Ministerio de Economía y Competitividad) under project TEC2014-59255-C3-1-R.

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Correspondence to Anxo Tato .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tato, A., Henarejos, P., Mosquera, C., Pérez-Neira, A. (2018). Link Adaptation Algorithms for Dual Polarization Mobile Satellite Systems. In: Pillai, P., Sithamparanathan, K., Giambene, G., Vázquez, M., Mitchell, P. (eds) Wireless and Satellite Systems. WiSATS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-76571-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-76571-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76570-9

  • Online ISBN: 978-3-319-76571-6

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