| Autors: Ivanov, A. S., Muhammad, B., Tonchev, K., Mihovska, A., Poulkov, V. K. Title: UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis Keywords: cognitive radio; radio environment maps 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. References Issue
Copyright Multidisciplinary Digital Publishing Institute (MDPI) |
Цитирания (Citation/s):
1. Melnychenko, O., Savenko, O., "A Self-Organized Automated System to Control Unmanned Aerial Vehicles for Object Detection", CEUR Workshop Proceedings, vol. 3373, pp. 589-600, 2023. - 2023 - в издания, индексирани в Scopus или Web of Science
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science
