Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings

Research Article

An Analysis of WiFi Cochannel Interference at LTE Subcarriers and Its Application for Sensing

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  • @INPROCEEDINGS{10.1007/978-3-319-40352-6_50,
        author={Prasanth Karunakaran and Wolfgang Gerstacker},
        title={An Analysis of WiFi Cochannel Interference at LTE Subcarriers and Its Application for Sensing},
        proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings},
        proceedings_a={CROWNCOM},
        year={2016},
        month={6},
        keywords={LTE-U WiFi Interference Statistics Sensing LBT},
        doi={10.1007/978-3-319-40352-6_50}
    }
    
  • Prasanth Karunakaran
    Wolfgang Gerstacker
    Year: 2016
    An Analysis of WiFi Cochannel Interference at LTE Subcarriers and Its Application for Sensing
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-40352-6_50
Prasanth Karunakaran1,*, Wolfgang Gerstacker1,*
  • 1: Friedrich-Alexander Universität Erlangen-Nürnberg
*Contact email: prasanth.karunakaran@fau.de, wolfgang.gerstacker@fau.de

Abstract

LTE-Unlicensed (LTE-U) involving the deployment of LTE in unlicensed bands has been gaining significant interest lately. The standardization of LTE-U has been proposed for Release 13 of 3GPP LTE. The two main requirements mandated for such an operation are the coexistence mechanisms with the WiFi systems and the sensing before transmission by an LTE-U device. Often in literature the interference in the LTE-U scenario is modeled as white Gaussian noise. There is a need to understand the properties of interference in such scenarios more accurately by taking into account the physical layer specifications of the LTE and the WiFi standards. To this end, we analyze the interference generated by a WiFi transmitter at an LTE receiver and characterize its correlation properties. We show that the interference powers across the LTE subcarriers exhibit a periodic behavior and that this can be exploited to develop sensing schemes selective to WiFi signals.