Advancing Experimental Platforms for UAV Communications: Insights from AERPAW'S Digital Twin
Joshua Moore, Aly Sabri Abdalla, Charles Ueltschey, An{\i}l G\"urses,, \"Ozg\"ur \"Ozdemir, Mihail L. Sichitiu, \.Ismail G\"uven\c{c}, and Vuk, Marojevic

TL;DR
This paper demonstrates how AERPAW's digital twin can effectively simulate UAV communication scenarios, providing valuable insights into system performance and reliability to support the development of advanced UAV networks.
Contribution
The paper introduces the use of AERPAW's digital twin for realistic UAV communication experiments, bridging the gap between simulation and real-world testing.
Findings
Digital twin accurately emulates UAV communication scenarios
Insights into system performance and reliability from experiments
Supports validation of UAV network designs
Abstract
The rapid evolution of 5G and beyond has advanced space-air-terrestrial networks, with unmanned aerial vehicles (UAVs) offering enhanced coverage, flexible configurations, and cost efficiency. However, deploying UAV-based systems presents challenges including varying propagation conditions and hardware limitations. While simulators and theoretical models have been developed, real-world experimentation is critically important to validate the research. Digital twins, virtual replicas of physical systems, enable emulation that bridge theory and practice. This paper presents our experimental results from AERPAW's digital twin, showcasing its ability to simulate UAV communication scenarios and providing insights into system performance and reliability.
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Taxonomy
TopicsDigital Transformation in Industry · UAV Applications and Optimization · Big Data and Business Intelligence
