3D Spectrum Mapping Based on ROI-Driven UAV Deployment
Qihui Wu, Feng Shen, Zheng Wang, Guoru Ding

TL;DR
This paper introduces a 3D spectrum mapping framework utilizing UAVs, with a ROI-driven deployment scheme to efficiently sample and reconstruct spectrum data in smart city environments.
Contribution
It proposes a novel 3D spectrum mapping model and a ROI-driven UAV deployment scheme for efficient spatial sampling and spectrum reconstruction.
Findings
Effective ROI-driven UAV deployment reduces sampling energy costs.
The framework enables real-time 3D spectrum monitoring in complex environments.
The method improves spectrum resource management in smart cities.
Abstract
Given the explosive growth of Internet of Things (IoT) devices ranging from the two-dimensional (2D) ground to the three-dimensional (3D) space, it is a necessity to establish a 3D spectrum map to comprehensively present and effectively manage the 3D spatial spectrum resources in smart city infrastructures. By leveraging the popularity and location flexibility of the unmanned aerial vehicles (UAVs), we are able to execute spatial sampling with these emerging flying spectrum-monitoring devices (SMDs) at will. In this paper, we first present a brief survey to show the state-of-the-art studies on spectrum mapping. Then, we introduce the 3D spectrum mapping model. Next, we propose a 3D spectrum mapping framework which is composed of pre-sampling, spectrum situation estimation, UAV deployment and spectrum recovery. Therein we develop a Region of Interest (ROI)-driven UAV deployment scheme,…
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Taxonomy
TopicsUAV Applications and Optimization · Video Surveillance and Tracking Methods · Indoor and Outdoor Localization Technologies
