activity
20242026
most citedDigital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks

5 citations · 5 across the 11 of their papers we have counts for

collaborators

12 papers

eess.SP2026

Modeling and Analysis of Air-to-Ground Cellular KPIs in a 5G Testbed using Android Smartphones

Simran Singh, Anıl Gürses, Özgür Özdemir +5

The integration of cellular communication with Unmanned Aerial Vehicles (UAVs) extends the range of command and control and payload communications of autonomous UAV applications. A…

eess.SP2026

Real-World LoRaWAN Performance and Propagation Modeling Using UAV, Helikite, and Vehicle-Based Measurements

Sergio Vargas Villar, Simran Singh, Özgür Özdemir +2

This paper presents a field-based evaluation of Long Range Wide Area Network (LoRaWAN) signal propagation conducted at two locations within the Aerial Experimentation and Research…

eess.SP2026

ACHEM: A Real-Time Digital Twin Framework with Channel and Radio Emulation

Anil Gurses, Mihail L. Sichitiu

Digital twins are becoming an important tool for designing, developing, testing, and optimizing next-generation wireless communication systems. Over the past decade, system softwar…

eess.SP2026

Air-to-Air Channel Characterization for UAV Communications at 3.4 GHz

Anıl Gürses, John Kesler, Mihail L. Sichitiu

Uncrewed Aerial Vehicle (UAV) networks require accurate Air-to-Air (A2A) channel models, but most existing work focuses on Air-to-Ground links and leaves the sub-6 GHz A2A channel…

eess.SP2026

Height-Dependent Spectrum Activity Measurements and Modeling: A Case Study with FM Radio Bands

Sung Joon Maeng, Amir Hossein Fahim Raouf, Ozgur Ozdemir +2

The increasing demand for wireless connectivity necessitates advanced spectrum modeling to enable efficient spectrum sharing for next-generation aerial communications. While tradit…

cs.NI2026

Collection: UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments

Md Sharif Hossen, Cole Dickerson, Ozgur Ozdemir +33

In this work, we present an unmanned aerial vehicle (UAV) wireless dataset collected as part of the AERPAW Autonomous Aerial Data Mule (AADM) challenge, organized by the NSF Aerial…

eess.SP2026

TransfoREM: Transformer aided 3D Radio Environment Mapping

Gautham Reddy, Ismail Guvenc, Mihail L. Sichitiu +3

Providing reliable cellular connectivity to Unmanned Aerial Vehicles (UAV) is a key challenge, as existing terrestrial networks are deployed mainly for ground-level coverage. The c…

cs.NI2025

Curated Wireless Datasets for Aerial Network Research

Amir Hossein Fahim Raouf, Donggu Lee, Mushfiqur Rahman +18

This Review consolidates publicly available aerial wireless measurement datasets collected using AERPAW. We organize signal-level, power-level, and KPI-level datasets under a unifi…

eess.SP2025

Collection: UAV-Based RSS Measurements from the AFAR Challenge in Digital Twin and Real-World Environments

Saad Masrur, Ozgur Ozdemir, Anil Gurses +19

This paper presents a comprehensive real-world and Digital Twin (DT) dataset collected as part of the AERPAW Find A Rover (AFAR) Challenge, organized by the NSF Aerial Experimentat…

cs.NI2025

Accelerating Development in UAV Network Digital Twins with a Flexible Simulation Framework

Md Sharif Hossen, Anil Gurses, Mihail Sichitiu +1

Unmanned aerial vehicles (UAVs) enhance coverage and provide flexible deployment in 5G and next-generation wireless networks. The performance of such wireless networks can be impro…

eess.SY2024

Advancing Experimental Platforms for UAV Communications: Insights from AERPAW'S Digital Twin

Joshua Moore, Aly Sabri Abdalla, Charles Ueltschey +5

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…

eess.SP2024★ 5 cited

Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks

Anıl Gürses, Gautham Reddy, Saad Masrur +7

Digital twins (DTs), which are virtual environments that simulate, predict, and optimize the performance of their physical counterparts, hold great promise in revolutionizing next-…