Autors: Ivanov, A. S., Muhammad, B., Tonchev, K., Mihovska, A., Poulkov, V. K.
Title: Challenges for Volumetric Measurements Toward Radio Environment Map Construction for UAV Communications
Keywords: Challenges; radio environment maps; unmanned aerial vehicles

Abstract: The incorporation of unmanned aerial vehicles (UAVs) based nodes into upcoming and future wireless communications has recently become a substantial field of research. Consequently, problems related to spectrum utilization optimization and network coexistence have also gathered attention. Radio Environment Maps (REM) have been established as an important tool for spectrum usage analysis, and thus, their construction via UAVs has been explored by a number of influential studies. This paper provides a review of these works, on the basis of which, it describes the relevant challenges and procedures of performing real-time volumetric (i.e. in three-dimensional space) UAV-based measurements for aerial communications, and analysis of the gathered data in the temporal, frequency and spatial domains. These guidelines facilitate the construction of REMs as well as the further investigation for simulation-based spectrum management algorithms.

References

    Issue

    in Proceedings of International Symposium on Wireless Personal Multimedia Communications (WPMC), Herning, Denmark, 30 October-02 November 2022, pp. 250-255, 2022, Denmark, IEEE Computer Society, DOI 10.1109/WPMC55625.2022.10014732

    Copyright IEEE

    Цитирания (Citation/s):
    1. Shawel B.S.; Woldegebreal D.H.; Pollin S., "A Deep-Learning Approach to a Volumetric Radio Environment Map Construction for UAV-Assisted Networks", International Journal of Antennas and Propagation, vol. 2024, 2024, DOI: 10.1155/2024/9062023. - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science