What Positioning Accuracy is Sufficient for Reliable mmWave A2G Channel Measurements?

Vasilii Semkin, Aki Karttunen, Seongjoon Kang, Jukka Talvitie, Marco Mezzavilla, Sundeep Rangan, Mikko Valkama

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    In this work, we investigate the significance of position accuracy for unmanned aerial vehicle (UAV) during millimeter-wave (mmWave) channel measurements. The studies are performed at 28 and 60 GHz frequencies. First, we study the effect of the error in the link distances on the 3GPP channel models. Second, we present ray tracing simulations performed in urban environment. We verify that the horizontal/vertical accuracy of ±0.5/0.8 meters may be enough to get reliable data. It should be noted that better accuracy can still improve the results but will require more effort to achieve. In addition, it is confirmed that more severe effect will be visible on the path loss values, while other parameters are not affected as strongly for the LOS case. We present the root mean square error for different positioning accuracies with respect to the reference case, i.e. no error in the UAV position, in angular and time domains which increases linearly with the decreasing accuracy.

    Original languageEnglish
    Title of host publication2022 16th European Conference on Antennas and Propagation, EuCAP 2022
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-88-31299-04-6
    ISBN (Print)978-1-6654-1604-7
    DOIs
    Publication statusPublished - 2022
    MoE publication typeA4 Article in a conference publication
    Event16th European Conference on Antennas and Propagation, EuCAP 2022 - Madrid, Spain
    Duration: 27 Mar 20221 Apr 2022

    Conference

    Conference16th European Conference on Antennas and Propagation, EuCAP 2022
    Country/TerritorySpain
    CityMadrid
    Period27/03/221/04/22

    Funding

    The work of V. Semkin was supported in part by the Academy of Finland, projects N°331810 and N2345372.

    Keywords

    • antennas
    • channel modeling
    • positioning accuracy
    • radio wave propagation
    • UAV

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