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UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis.
Ivanov, Antoni; Muhammad, Bilal; Tonchev, Krasimir; Mihovska, Albena; Poulkov, Vladimir.
Afiliación
  • Ivanov A; Intelligent Communication Infrastructure Laboratory, Sofia Tech Park, 1784 Sofia, Bulgaria.
  • Muhammad B; Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria.
  • Tonchev K; Department of Business Development and Technology, Aarhus University, 7400 Aarhus, Denmark.
  • Mihovska A; Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria.
  • Poulkov V; Department of Business Development and Technology, Aarhus University, 7400 Aarhus, Denmark.
Sensors (Basel) ; 22(24)2022 Dec 11.
Article en En | MEDLINE | ID: mdl-36560074
ABSTRACT
Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space. Consequently, there is a need for efficient spectrum utilization in these dense aerial networks, which is characterized through radio environment maps (REMs), the construction of which is an important research area. Nevertheless, due to the difficult collection of radio frequency (RF) data, there are limited works that are based on real-world measurement campaigns. This paper presents a novel experimental setup that includes a constellation of three UAVs, the communication signals of which are measured by a software-defined radio (SDR) mounted on a separate UAV. It follows a trajectory that defines the REM's two-dimensional (2D) area on a plane, executed at four altitudes, to extend the REM to 3D. The measurements are then processed and their features (received mean power level, average difference of the mean power, percentage of meaningful correlations) are analyzed in the temporal, spatial, and frequency domains to determine the utilization of a 20 MHz band in the 2.4 GHz spectrum, as well as their variation with altitude. This analysis provides a base for research in reducing the amount of measurements (by identifying the regions of low and of high interest) and spectrum occupancy prediction for UAV-based communication coexistence.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Bulgaria

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Bulgaria