A Versatile and Programmable UAV Platform for Radio Access Network and End-to-End Cellular Measurements
🤖 AI Summary
To address the low efficiency and poor security of conventional network measurements in low-density, topographically complex rural areas, this paper proposes and implements the first programmable UAV-based measurement platform integrating commercial cellular modems with an onboard computing unit. The platform incorporates a line-of-sight (LoS)-optimized high-altitude flight strategy, geospatial mapping, and multidimensional metric statistical analysis to overcome coverage blind spots inherent in ground-based measurements. Experimental results reveal significant inconsistency between received signal strength and actual service coverage; although transmit power improves with altitude, co-channel and adjacent-channel interference intensifies. Nevertheless, most regions maintain acceptable throughput and stable latency. This work establishes a novel paradigm for wide-area cellular network assessment from the air and delivers a reusable, open technical framework for aerial radio measurement.
Application Category
📝 Abstract
In this work, we develop a measurement platform to capture mobile network performance metrics including coverage and quality of service in regions where conventional coverage testing approaches are frequently time-intensive, labor-demanding, and occasionally hazardous. Traditionally, crowd-sourcing methods are used to collect cellular network performance metrics. However, these approaches are inadequate in rural areas due to low-density population, and difficult terrain. The platform described here is a UAV-based and is designed to investigate the mobile network performance through aerial operations and gather Radio Access Network (RAN) signal alongside end-to-end network performance metrics. Our platform gathers metrics through the integration of an onboard computation unit and commercial off-the-shelf cellular modem. The gathered data are subsequently analyzed and displayed using geospatial mapping utilities and statistical techniques to deliver key observations on cellular network performance. Experimental results showed that the received signal power improves at higher altitudes due to enhanced line-of-sight (LoS) conditions as expected. However, the signal quality degrades as a result of increased interference from neighboring cells. The analysis reveals that for most of the geographic area covered in the initial experiments the system maintained acceptable signal quality, with adequate throughput performance for both uplink and downlink communications, while maintaining satisfactory round-trip time characteristics. Notably, the experiment showed that a strong radio signal metric for a given cell does not necessarily translate to consistent spatial coverage across the tested region.
Problem
Research questions and friction points this paper is trying to address.
Developing UAV platform for cellular network measurements
Addressing inadequate coverage testing in rural areas
Analyzing signal quality and interference at varying altitudes
Innovation
Methods, ideas, or system contributions that make the work stand out.
UAV-based platform for aerial cellular measurements
Integrates onboard computation and commercial modem
Analyzes data with geospatial mapping and statistics
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