Publications

Conference/Workshop

2025

InternalRF-Based UAV Detection & IdentificationSoftware-Defined Radio (SDR) & Testbed DevelopmentUAV-Based Spectrum Sensing & MonitoringDataset 1

2026

2. I. Kaya, B. B. Atalay, K. Yiğit, I. I. Ibrahim, S. M. Bostan, G. Aydemir, M. B. Tabakcioglu, “RF Fingerprint-Based Drone Controller Classification Using Feature Engineering and ML,” 18th International Conference on Electronics, July 2026. [Bucharest, Romania]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1
3. Yiğit et al., “RF Fingerprinting and Classification of 15 Different UAV Remote Controllers via Raw Signal Analysis with 1D-CNN,” 18th International Conference on Electronics, July 2026. [Bucharest, Romania]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1
4. Jain et al., “Robust Drone Identification via RF Spectrogram Analysis Using RobustSpecNet,” International Conference on Intelligent Systems, September 2026.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

2023

5. A. Singh, V. Sharma, K. Rawat, “Classification of RF Fingerprint Signals from UAV Controller Using ML Techniques,” 2023 IEEE MAPCON, December 2023. [Ahmedabad, India]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

Journal/Magazine

2024

6. M. U. Zahid, M. D. Nisar, A. Fazil, J. Ryu, M. H. Shah, “Composite Ensemble Learning Framework for Passive Drone RF Fingerprinting in 6G Networks,” 2024, August 2024.
Internal5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

Conference/Workshop

2024

7. M. H. Rahman, M. A. Aziz, R. Tabassum, M. A. S. Sejan, J. I. Baik, H. K. Song, “Improved Drone Classification and Detection Using RF: A Cascaded Deep Learning Approach,” 2024 15th ICTC, October 2024. [Jeju Island, South Korea]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

2022

8. R. R. Yakkati, A. Gade, B. H. Koduru, B. Pardhasaradhi, L. R. Cenkeramaddi, “Classification of UAVs Using Time-Frequency Analysis of Remote Control Signals and CNN,” 2022 IEEE iSES, December 2022. [Warangal, India]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

Journal/Magazine

2022

9. K. Bremnes, R. Moen, S. R. Yeduri, R. R. Yakkati, L. R. Cenkeramaddi, “Classification of UAVs Utilizing Fixed Boundary Empirical Wavelet Sub-bands of RF Fingerprints and Deep CNN,” IEEE Sensors Journal, November 2022.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

2024

10. R. Akter, S. V. Doan, A. Zainudin, D.-S. Kim, “Sparsely Connected Low-Complexity CNN for Unmanned Vehicles Detection (RFDNet),” IEEE Transactions on Vehicular Technology, October 2024.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

Conference/Workshop

2023

11. B. Gündoğan, H. Ergezer, “Comprehensive Comparison of Various ML Algorithms for RF Fingerprints Classification,” 31st Signal Processing and Communications Applications Conference (SIU 2023), July 2023. [Istanbul, Turkey]
AI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

Journal/Magazine

2026

12. L. H. Kirakosyan, M. V. Navoyan, V. G. Melkonyan, A. S. Sardaryan, S. S. Sargsyan, “Real-Time Radio Signal Classification Based on Spectrograms,” Programming and Computer Software, January 2026.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

2025

13. T. Delleji, F. Slimeni, “RF-YOLO: A Modified YOLO Model for UAV Detection and Classification Using RF Spectrogram Images,” Telecommunication Systems, February 2025.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

Preprint (arXiv)

2026

14. M. Rabie, C. Panagamuwa, K. G. Kyriakopoulos, “ELC: Evidential Lifelong Classifier for Uncertainty-Aware Radar Pulse Classification,” arXiv preprint arXiv:2604.06958, April 2026.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

Journal/Magazine

2024

15. N. V. Bac, H. V. Phuc, D. V. Sang, H. X. Tinh, T. D. Linh, “Deep-Learning CNN + CFAR for RF-Signature-Based Drone Recognition Under Noise,” Application of CNN deep learning model and CFAR filtering technique for RF-based drone signal classification in noisy conditions, June 2024.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

2021

16. Q. Chen, W. Wu, W. Luo, “Lossless Compression of Sensor Signals Using an Untrained Multi-Channel RNN Predictor,” Lossless Compression of Sensor Signals Using an Untrained Multi-Channel Recurrent Neural Predictor, November 2021.
AI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

Conference/Workshop

2022

17. Kaushik et al., “Entropy-Based Detection Approach for Micro-UAV and Classification Using ML,” 2022 IEEE National Aerospace and Electronics Conference (NAECON), August 2022. [Dayton, Ohio, USA]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

Journal/Magazine

2022

18. O. O. Medaiyese, M. Ezuma, A. P. Lauf, A. A. Adeniran, “Hierarchical Learning Framework for UAV Detection and Identification,” IEEE Journal of Radio Frequency Identification (IEEE J-RFID), September 2022.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationUAV-Based Spectrum Sensing & MonitoringDataset 1

Conference/Workshop

2026

19. N. Quadar, A. Chehri, B. Debaque, “Feature Learning and Continual Adaptation for Robust RF Fingerprinting in UAV Networks,” Conference paper 2026, May 2026.
Internal5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

Journal/Magazine

2025

Internal5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

2026

21. S. J. Maeng, A. F. Raouf, O. Ozdemir, T. Zajkowski, M. Mushi, M. L. Sichitiu, R. Dutta, I. Guvenc, “Altitude-Dependent Sub-6 GHz Wireless Spectrum: Survey, Measurements, Trends, and Modeling,” Elsevier Computer Networks, June 2026.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & Monitoring
22. G. Reddy, K. Tekbiyik, B. Petersen, A. L. Landry, G. K. Kurt, I. Guvenc, “AI-Enabled Wireless Propagation Modeling and Radio Environment Maps for 5G Aerial Wireless Networks,” IEEE J. Select. Topics Electromagnetics, June 2026.
Internal5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network OptimizationAir-to-Ground (A2G) Channel Modeling & Propagation
23. A. H. F. Raouf, D. Lee, M. Rahman, S. Masrur, G. Reddy, C. Dickerson, M. S. Hossen, S. Vargas Villar, A. Gürses, S. Singh, S. J. Maeng, M. Ezuma, C. Roberts, M. R. Sarbudeen, T. J. Zajkowski, M. Mushi, O. Ozdemir, R. Asokan, I. Guvenc, M. L. Sichitiu, R. Dutta, “Curated Wireless Datasets for Aerial Networks Research,” Nature npj Wireless Technology, June 2026.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
24. F. A. Ibrahim, “Adaptive interference management in aerial/UAV-supported 5G networks using deep reinforcement learning,” AEU-International Journal of Electronics and Communications, May 2026.
External5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network Optimization
25. G. Reddy, I. Guvenc, M. L. Sichitiu, A. Bhuyan, B. Petersen, J. Abrahamson, “TransfoREM: Transformer aided 3D Radio Environment Mapping,” Proc. IEEE Int. Conf. Commun, May 2026.
InternalAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & MonitoringDataset 3
26. M. S. Hossen, C. Dickerson, O. Ozdemir, A. Gurses, M. R. Sarbudeen, T. Zajkowski, A. M. Alam, E. Tucker, W. Bjorndahl, F. Solis, S. Javed, A. Kamath, X. Tang, J. J. Sadique, K. L. Hermstein, K. A. Mahmud, J. A. S. Viloria, S. Hawkins, Y. Cui, A. Dey, Y. Liu, A. Gurbuz, J. Camp, R. Ahmad, J. van der Merwe, A. I. Mohamed, G. Zussman, M. Kurum, N. Kamesh, Z. Guan, D. Pados, G. Skilvanitis, I. Guvenc, M. Sichitiu, M. Mushi, R. Dutta, “UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments,” IEEE Data Descriptions, April 2026.
ExternalAutonomous Trajectory & Mission PlanningDigital Twins for Wireless NetworksDataset 30
27. J. J. Sadique, A. S. Ibrahim, “Aerial Link Scheduling over Riemannian Manifolds Using AERPAW’s Digital Twin,” IEEE Communications Magazine, March 2026.
ExternalAI & Machine Learning for Network OptimizationDigital Twins for Wireless Networks
28. K. Tekbiyik, A. H. F. Raouf, I. Guvenc, M. Chen, G. K. Kurt, A. L. Landry, “AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation,” IEEE Network Magazine, March 2026.
External5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & Monitoring
29. L. Qi, Y. Wu, D. Simeonidou, “Theory-Guided Modeling for Network Performance Prediction,” IEEE Transactions on Network Science and Engineering, January 2026, pp. 9518-9537.
ExternalAI & Machine Learning for Network Optimization
30. B. Alkouz, O. Amin, B. Shihada, “Swarm Network-as-a-Service (SNaaS),” arXiv preprint, January 2026.
External5G/6G & Next-Generation Aerial NetworksAutonomous Trajectory & Mission Planning
31. S. Mishra, B. Bhargava, Z. Liu, S. Islam, “UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks,” arXiv preprint, January 2026.
ExternalAI & Machine Learning for Network OptimizationDigital Twins for Wireless Networks
32. A. A. Al-Hameed, A. N. Abdulfattah, A. S. Alhazmi, A. J. Showail, S. H. Younus, M. A. Ahmed, “Explainable and Physics-Aligned Handover Prediction for Cellular-Connected UAV Networks,” IEEE Open Journal of Vehicular Technology, January 2026.
External5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network Optimization
33. I. Panitsas, L. Tassiulas, “A Family of Open Time-Series Foundation Models for the Radio Access Network,” arXiv preprint, January 2026.
External5G/6G & Next-Generation Aerial NetworksAI & Machine Learning for Network OptimizationDatasets 18, 20, 23, 24, 25
34. Z. Liu, Q. Liu, S. Zhang, H. Zhang, L. Song, “A Fine-Grained 3D Radio Map Construction Paradigm With Ultra-Low Sampling Rates by Large Generative Models,” IEEE Journal on Selected Areas in Communications 44 (2026): 4397-4413, January 2026.
ExternalAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & MonitoringDataset 22
35. S. Cheng, X. Li, X. Lin, H. Ding, Yi Sun, “TSS-LCD: A Temporal-Spectral-Spatial Guided Latent Conditional Diffusion Model for Spectrum Prediction Under Incomplete Observations,” IEEE Transactions on Cognitive Communications and Networking, January 2026.
ExternalAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & Monitoring
36. Keiwan Soltani, Federico Coro, Simone Silvestri, Sajal K. Das, “UAVDCH: Multi-Channel UAV Data Collection via Dual Cluster Heads in IoT Sensor Networks,” Transactions on Emerging Topics in Computing Journal, January 2026.
External5G/6G & Next-Generation Aerial NetworksAutonomous Trajectory & Mission Planning
37. M. Rahman, I. Guvenc, J. A. Abrahamson, A. Bhuyan, “Platform and Orientation Aware Channel Knowledge Mapping via Mutual Antenna Pattern Learning in 3D Wireless Links,” IEEE Wireless Communications Letters, January 2026.
InternalAI & Machine Learning for Network OptimizationAir-to-Ground (A2G) Channel Modeling & PropagationDatasets 11, 12
38. M. Rahman, S. J. Maeng, I. Guvenc, C.-W. Wong, M. L. Sichitiu, J. A. Abrahamson, A. Bhuyan, “UAV-Based 3D Spectrum Sensing: Insights on Altitude, Bandwidth, Trajectory, and Effective Antenna Patterns on REM Reconstruction,” IEEE Sensors Journal, January 2026.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & MonitoringDatasets 3, 11, 12
39. S. J. Maeng, I. Guvenc, “3D Spectrum Interpolation Using UAVs Based on U-Net-Kriging,” IEEE Internet of Things J, January 2026.
InternalAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & Monitoring
40. A. H. F. Raouf, I. Guvenc, “Inter-Year Transfer of Altitude-Dependent Spectrum Activity Models Using Minimal Calibration,” IEEE Transactions on Aerospace and Electronic Systems, January 2026.
InternalAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & Monitoring
41. C. Bhamidipati, Z. Murry, A. Morel, C. Qu, S. Srinivas, P. Calyam, “Cross-Layer Deep Reinforcement Learning for Real-Time Multi-Drone Delivery from Mobile Depots under Uncertainty,” IEEE ITS Journal, January 2026.
ExternalAI & Machine Learning for Network OptimizationAutonomous Trajectory & Mission Planning

2025

42. S. Masrur, O. Ozdemir, A. Gurses, I. Guvenc, M. L. Sichitiu, R. Dutta, M. Mushi, T. Zajkowski, C. Dickerson, G. Reddy, S. V. Villar, C. Wong, B. Chatterjee, S. Chaudhari, Z. Li, Y. Liu, P. Kudyba, H. Sun, J. S. Mandapaka, K. Namuduri, W. Wang, F. Fund, “Collection: UAV-Based RSS Measurements from the AFAR Challenge in Digital Twin and Real-World Environments,” IEEE Data Descriptions, May 2025.
ExternalDigital Twins for Wireless NetworksLocalization & Source TrackingDataset 11
43. S. J. Maeng, I. Guvenc, “Altitude-Dependent Cellular Spectrum Occupancy: from Measurements to Stochastic Geometry Models,” IEEE Internet of Things Journal, May 2025.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & Monitoring
44. D. Lee, O. Ozdemir, A. Ram, I. Guvenc, “Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios with Foliage,” IEEE Open J. Veh. Technol, February 2025.
Internal5G/6G & Next-Generation Aerial NetworksAir-to-Ground (A2G) Channel Modeling & Propagation
45. J. Moore, C. Ueltschey, A. Abdalla, V. Marojevic, “Next generation cellular networks prototyping O-RAN enabled UAV experimentation for the AERPAW testbed,” IEEE Commun. Mag, February 2025, pp. 78-84.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
46. D. Lee, S. J. Maeng, O. Ozdemir, M. B. Pandian, I. Guvenc, “Reliability of Wi-Fi, LTE, and 5G-based UAV RC links in ISM bands: Uplink interference asymmetry analysis and HARQ design,” IEEE Open J. Commun. Society, January 2025.
Internal5G/6G & Next-Generation Aerial NetworksAir-to-Ground (A2G) Channel Modeling & Propagation
47. A. E. Morel, P. Calyam, K. Palaniappan, “Task Offloading Strategies for Agricultural UAV Systems in Dynamic Network Environments,” Proc. Int. Conf. Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), January 2025, pp. 344-351.
ExternalAI & Machine Learning for Network OptimizationAutonomous Trajectory & Mission Planning
48. V.S. R. Kantheti, C. C. Liang, E. Blasch, S. C. Lin, “Development of Hardware-in-Loop Framework for Satellite Communication Self-Healing Networks,” arXiv preprint, January 2025.
External5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
49. A. Gurses, G. Reddy, S. Masrur, O. Ozdemir, I. Guvenc, M. L. Sichitiu, A. Sahin, A. Alkhateeb, M. Mushi, R. Dutta., “Digital Twins for Supporting AI Research with Autonomous Vehicle Networks,” IEEE Commun. Mag, January 2025.
InternalAI & Machine Learning for Network OptimizationDigital Twins for Wireless NetworksDataset 11

2024

50. A. P. Ganesh, A. J. Perre, A. Sahin, I. Guvenc, B. A. Floyd, “A mmWave Software-Defined Array Platform for Wireless Experimentation at 24-29.5 GHz,” Proc. IEEE Military Commun. Conf, October 2024.
InternalMillimeter-Wave (mmWave) CommunicationsSoftware-Defined Radio (SDR) & Testbed Development
51. Magreth Mushi, Yuchen Liu, Shreyas Sreenivasa, Ozgur Ozdemir, Ismail Guvenc, Mihail Sichitiu, Rudra Dutta, Russ Gyurek, “Open RAN testbeds with controlled air mobility,” Elsevier Computer Communications, January 2024.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
52. P. Kudyba, J. S. Mandapaka, W. Wang, L. McCorkendale, Z. McCorkendale, M. Kidane, H. Sun, E. Adams, K. Namuduri, F. Fund et al., “A UAV-assisted wireless localization challenge on AERPAW,” arXiv preprint, January 2024.
ExternalLocalization & Source TrackingSoftware-Defined Radio (SDR) & Testbed DevelopmentDataset 11

2023

53. A. Gurses, M. Funderburk, J. Kesler, K. Powell, T. F. Rahman, O. Ozdemir, M. J. Mushi, M. Sichitiu, I. Guvenc, R. Dutta, V. Marojevic, “Demonstration of Joint SDR/UAV Experiment Development in AERPAW,” Proc. IEEE Military Commun. Conf, October 2023.
InternalSoftware-Defined Radio (SDR) & Testbed Development
54. S. J. Maeng, H. Kwon, O. Ozdemir, I. Guvenc, “Impact of 3D Antenna Radiation Pattern in UAV Air-to-Ground Path Loss Modeling and RSRP-based Localization in Rural Area,” IEEE Open J. Antennas and Propag, October 2023. [LTE I/Q Dataset]
InternalAir-to-Ground (A2G) Channel Modeling & PropagationLocalization & Source TrackingDatasets 3, 7
55. S. J. Maeng, O. Ozdemir, I. Guvenc, M. L. Sichitiu, M. Mushi, R. Dutta, “LTE I/Q Data Set for UAV Propagation Modeling, Communication, and Navigation Research,” IEEE Commun. Mag, September 2023. [LTE I/Q Dataset]
InternalAir-to-Ground (A2G) Channel Modeling & PropagationSoftware-Defined Radio (SDR) & Testbed DevelopmentDataset 3
56. R. Dutta, I. Guvenc, M. Sichitiu, O. Ozdemir, M. Mushi, “AERPAW: A National Facility for Wireless and Drone Research,” IEEE ComSoc Technology News, June 2023.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
57. D. Lee, I. Guvenc, “Rank and Condition Number Analysis for UAV MIMO Channels Using Ray Tracing,” IEEE Veh. Technol. Workshops, June 2023. [Preprint]
InternalAir-to-Ground (A2G) Channel Modeling & Propagation
58. S. J. Maeng, O. Ozdemir, I. Guvenc, M. Sichitiu, R. Dutta, M. Mushi, Monisha Ghosh, “SDR-Based 5G NR C-Band I/Q Monitoring and Surveillance in Urban Area Using a Helikite,” Proc. IEEE ICIT23, April 2023.
InternalSoftware-Defined Radio (SDR) & Testbed DevelopmentUAV-Based Spectrum Sensing & MonitoringDataset 6
59. S. J. Maeng, O. Ozdemir, I. Guvenc, M. L. Sichitiu, “Kriging-Based 3-D Spectrum Awareness for Radio Dynamic Zones Using Aerial Spectrum Sensors,” IEEE Sensors, February 2023. [LTE I/Q Dataset, Preprint]
InternalUAV-Based Spectrum Sensing & MonitoringDatasets 3, 7
60. S. Zhang, A. Wijesinghe, Z. Ding, “RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network,” IEEE Internet of Things Journal, January 2023, pp. 18.
ExternalAI & Machine Learning for Network OptimizationUAV-Based Spectrum Sensing & Monitoring
61. A. E. Morel, C. Qu, P. Calyam, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, E. Deelman, “Flynet: Drones on the horizon,” IEEE Internet Computing, January 2023, pp. 35–43.
External5G/6G & Next-Generation Aerial Networks

2022

62. O. O. Medaiyese, M. Ezuma, A. P. Lauf, I. Guvenc, “Wavelet Transform Analytics for RF-Based UAV Detection and Identification System Using Machine Learning,” Elsevier Pervasive and Mobile Computing, March 2022. [Cardinal Drone Signal Dataset]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & Identification
63. A. Abdalla, A. Yingst, K. Powell, A. Gelonch-Bosh, V. Marojevic, “Open-source software radio platform for research on cellular networked UAVs: It works!,” IEEE Commun. Mag, February 2022, pp. 60-66.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development

2021

64. A. Panicker, O. Ozdemir, M. L. Sichitiu, I. Guvenc, R. Dutta, V. Marojevic, B. Floyd, “AERPAW Emulation Overview and Preliminary Performance Evaluation,” Elsevier Computer Communications, April 2021.
InternalDigital Twins for Wireless NetworksSoftware-Defined Radio (SDR) & Testbed Development

2020

65. V. Marojevic, I. Guvenc, R. Dutta, M. Sichitiu, B. Floyd, “Advanced Wireless for Unmanned Aerial Systems: 5G Standardization, Research Challenges, and AERPAW Experimentation Platform,” IEEE Vehic. Technol. Mag, March 2020.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
66. M. Ezuma, F. Erden, K. Anjinappa, O. Ozdemir, I. Guvenc, “Detection and Classification of UAVs Using RF Fingerprints in the Presence of Interference,” IEEE Open J. Communication Society, January 2020. [NCSU Drone Signal Dataset]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 1

Conference/Workshop

2026

67. J. Halder, M. E. Hoque, T. Anjum, M. Kurum, “A Digital Twin Framework for UAV Communications: Ray-Tracing-Based Radio Propagation Modeling in Tree-Enriched Environments,” 2026 IEEE 104th Vehicular Technology Conference (VTC2026-Fall), September 2026.
ExternalAir-to-Ground (A2G) Channel Modeling & PropagationDigital Twins for Wireless Networks
68. M. Rahman, I. Guvenc, D. Matolak, “GS-SBL: Bridging Greedy Pursuit and Sparse Bayesian Learning for Efficient 3D Wireless Channel Modeling,” Proc. IEEE Int. Sym. Antennas and Propagation and USNC-URSI Radio Science Meeting, July 2026.
InternalAI & Machine Learning for Network OptimizationAir-to-Ground (A2G) Channel Modeling & PropagationDataset 3
69. A. F. H. Raouf, I. Guvenc, “Multi-Year Spectral Structure of 6G Candidate Bands at 2.7 GHz and 4.4 GHz,” Proc. IEEE DySpan Workshops, May 2026.
Internal5G/6G & Next-Generation Aerial NetworksUAV-Based Spectrum Sensing & MonitoringDatasets 4, 6, 10, 13, 14, 27
70. A. H. F. Raouf, I. Guvenc, “Beyond Path Loss: Altitude-Dependent Spectral Structure Modeling for UAV Measurements,” Proc. IEEE International Symposium on Spectrum Innovation (DySPAN), May 2026.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & MonitoringDataset 27
71. S. Hegde, V. Srirama Rohit Kantheti, L. C. Chu, E. Blasch, S. Lin, “Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks,” Proc. of IEEE INFOCOM Workshop, May 2026.
External5G/6G & Next-Generation Aerial NetworksAutonomous Trajectory & Mission Planning
72. W. Bjorndahl, M. O’Hair, B. Zoghi, J. Camp, “SPARK: Sparse Parametric Antenna Representation using Kernels,” IEEE INFOCOM, May 2026.
ExternalAir-to-Ground (A2G) Channel Modeling & PropagationDataset 7
73. Sadaf Javed, Ali Hassan, Rizwan Ahmad, Muhammad Mahtab Alam, Md Sharif Hossen, Anil Gurses, Özgür Özdemir, “Autonomous UAV Trajectory Design and Evaluation for Data Muling in AERPAW Digital Twin,” Proc. IEEE Int. Conf. Commun. (ICC), May 2026.
ExternalAutonomous Trajectory & Mission PlanningDigital Twins for Wireless Networks
74. M. S. Hossen, A. Gurses, O. Ozdemir, M. L. Sichitiu, I. Guvenc, “Resilient UAV Data Mule via Adaptive Sensor Association under Timing Constraints,” Proc. IEEE Aerospace Conf, March 2026.
InternalAutonomous Trajectory & Mission Planning
75. S. Singh, A. Gurses, O. Ozdemir, A. Ram, M. L. Sichitiu, I. Guvenc, R. Dutta, M. Mushi, “Modeling and Analysis of Air-to-Ground Cellular KPIs in a 5G Testbed using Android Smartphones,” Proc. IEEE Aerospace Conference, March 2026.
Internal5G/6G & Next-Generation Aerial NetworksAir-to-Ground (A2G) Channel Modeling & Propagation
76. S. V. Villar, S. Singh, O. Ozdemir, M. L. Sichitiu, I. Guvenc, “Real-World LoRaWAN Performance and Propagation Modeling Using UAV, Helikite, and Vehicle-Based Measurements,” Proc. IEEE Aerospace Conference, March 2026.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationDataset 16
77. A. Gurses, J. Kesler, M. L. Sichitiu, “Air-to-Air Channel Characterization for UAV Communications at 3.4 GHz,” Proc. IEEE Aerospace Conference, March 2026.
InternalAir-to-Ground (A2G) Channel Modeling & Propagation
78. K. Tekbıyık, G. K. Kurt, A. Lesage-Landry, “PIKAN: Physics-inspired Kolmogorov-Arnold networks for explainable UAV channel modelling,” Proc. IEEE Aerospace Conference, March 2026.
ExternalAI & Machine Learning for Network OptimizationAir-to-Ground (A2G) Channel Modeling & PropagationDataset 19
79. S. J. Maeng, A. H. F. Raouf, O. Ozdemir, I. Guvenc, M. L. Sichitiu, “Height-Dependent Spectrum Activity Measurements and Modeling: A Case Study with FM Radio Bands,” Proc. IEEE Veh. Technol. Conf. (VTC), February 2026.
InternalUAV-Based Spectrum Sensing & MonitoringDatasets 6, 10
80. J. Halder, M. E. Hoque, T. Anjum, M. Kurum, “Modeling and Analysis of Vegetation Effects in UAV Network Coverage Prediction with LiDAR and NVIDIA SionnaRT,” United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), January 2026, pp. 97-97.
ExternalAir-to-Ground (A2G) Channel Modeling & PropagationDigital Twins for Wireless Networks
81. W. Bjorndahl, F. Solis, J. Camp, “Frequency-Coupled Compression of Measured 3D Radiation Patterns for Wideband Antennas,” IEEE INFOCOM 2026-IEEE Conference on Computer Communications, January 2026, pp. 3687-3688.
ExternalAir-to-Ground (A2G) Channel Modeling & Propagation

2025

82. M. Rahman, I. Guvenc, M. Sichitiu, J. A. Abrahamson, A. Mishra, A. Bhuyan, “Elevation- and Tilt-Aware Shadow Fading Correlation Modeling for UAV-Based Spectrum Sensing,” Proc. IEEE Asilomar Conference, October 2025.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & Monitoring
83. C. Dickerson, S. Kearney, S. Manjur, I. Guvenc, S. Gurbuz, A. Gurbuz, O. Ozdemir, M. Sichitiu, “Fusion of Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking,” Proc. IEEE Asilomar Conference, October 2025.
InternalLocalization & Source TrackingRF-Based UAV Detection & IdentificationDataset 28
84. D. Lee, S. J. Maeng, O. Ozdemir, M. B. Pandian, I. Guvenc, “Interference-Asymmetric UAV Remote Control Links: Measurements and Performance Evaluation,” Proc. IEEE MILCOM Workshops, October 2025.
Internal5G/6G & Next-Generation Aerial NetworksAir-to-Ground (A2G) Channel Modeling & PropagationDataset 13
85. J. Kesler, A. Gürses, O. Özdemir, M. Mushi, M. L. Sichitiu, I. Güvenç, R. Dutta, Vuk Marojevic, “Demonstration of an Interactive Search and Rescue Scenario in AERPAW,” Proc. IEEE Military Commun. Conf. (MILCOM), October 2025.
InternalAutonomous Trajectory & Mission PlanningLocalization & Source TrackingSoftware-Defined Radio (SDR) & Testbed Development
86. C. Dickerson, S. Masrur, J. Dickerson, O. Ozdemir, I. Guvenc, “Impact of Altitude, Bandwidth, and NLOS Bias on TDOA-Based 3D UAV Localization: Experimental Results and CRLB Analysis,” Proc. IEEE ICC Workshops, June 2025.
InternalLocalization & Source Tracking
87. G. Reddy, S. Singh, I. Guvenc, M. Poletti, R. Sun, “WIOC: Wireless Indoor-Outdoor Classification Using WiFi and Cellular Signals,” Proc. IEEE ICC Workshops, June 2025.
InternalAI & Machine Learning for Network OptimizationDataset 20
InternalAI & Machine Learning for Network OptimizationLocalization & Source TrackingDatasets 7, 11
89. M. S. Hossen, A. Gurses, M. Sichitiu, I. Guvenc, “Accelerating Development in UAV Network Digital Twins with a Flexible Simulation Framework,” Proc. IEEE ICC Workshops, June 2025.
InternalDigital Twins for Wireless Networks
90. P. S. Kudyba, H. Sun, “Autonomous Agricultural Monitoring with Aerial Drones and RF Energy-Harvesting Sensor Tags,” Proc. Int. Symp. Intelligent Computing and Networking (ISICN), March 2025.
ExternalAutonomous Trajectory & Mission Planning
91. A. Jawne, G. Sklivanitis, D. Pados, E. S. Bentley, “AI-Assisted RF Fingerprinting for Identification of User Devices in 5G and FutureG,” Proc. NDSS Workshop on Security and Privacy of Next-Generation Networks (FutureG), February 2025.
ExternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & Identification
92. C. Bhamidipati, W. Echols, J. Lopez Olivares, K. Markley, S. Srinivas, P. Calyam, “Edge-Enabled Scalable Routing via Graph Neural Network Pruning and Metaheuristic Optimization,” ACM Workshop on Edge Intelligence (EI), January 2025.
ExternalAI & Machine Learning for Network Optimization
93. J. J. Sadique, M. R. Khan, A. S. Ibrahim, “UAV-aided fast data collection via machine learning using AERPAW’s digital twin,” Proc. ACM Workshop Wireless Network Testbeds, January 2025, pp. 89–96.
ExternalAI & Machine Learning for Network OptimizationAutonomous Trajectory & Mission PlanningDigital Twins for Wireless Networks
94. K. Kostage, R. Adepu, J. Monroe, T. Haughton, J. Mogollon, S. Poduvu, R.Mitra, C. Qu, K. Palaniappan, P. Calyam, “Federated learning-enabled network incident anomaly detection optimization for drone swarms,” Proc. Int. Conf. Distributed Computing and Networking (ICDCN), January 2025, pp. 104–114.
ExternalAI & Machine Learning for Network Optimization

2024

95. P. S. Kudyba, Q. Lu, H. Sun, “Bayesian Optimization for Fast Radio Mapping and Localization with an Autonomous Aerial Drone,” Proc. IEEE Vehicular Technology Conf. (VTC), September 2024, pp. 2024.
ExternalAI & Machine Learning for Network OptimizationAutonomous Trajectory & Mission PlanningLocalization & Source TrackingDataset 11
96. J. Moore, A. S. Abdalla, C. Ueltschey, V. Marojevic, A. Gurses, O. Ozdemir, M. L. Sichitiu, I. Guvenc, “Advancing Experimental Platforms for UAV Communications: Insights from AERPAW’S Digital Twin,” Proc. IEEE VTC Workshops, September 2024, pp. 2024.
InternalDigital Twins for Wireless NetworksSoftware-Defined Radio (SDR) & Testbed Development
97. A. Gürses, M. L. Sichitiu, “Air-to-Ground Channel Modeling for UAVs in Rural Areas,” Proc. IEEE Veh. Technol. Conf. (VTC), September 2024, pp. 2024.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationDataset 19
98. S. J. Maeng, A. H. F. Raouf, I. Guvenc, O. Ozdemir, M. Sichitiu, R. Dutta, “Key Observations from Altitude-Dependent Sub-6 GHz Spectrum Measurements at AERPAW,” Proc. IEEE DySpan Workshops, May 2024.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & Monitoring
99. R. Asokan, O. Ozdemir, I. Guvenc, M. Sichitiu, “Aerial RF and Throughput Measurements on a Non-Standalone 5G Wireless Network,” Proc. IEEE DySpan Workshops, May 2024.
Internal5G/6G & Next-Generation Aerial NetworksAir-to-Ground (A2G) Channel Modeling & Propagation
100. M. Rahman, S. J. Maeng, I. Guvenc, C.-W. Wong, “3D Spectrum Awareness for Radio Dynamic Zones Using Kriging and Matrix Completion,” Proc. IEEE DySpan, May 2024.
InternalUAV-Based Spectrum Sensing & Monitoring
101. B. Chatterjee, S. Chaudhari, L. Zhizhen, Y. Liu, R. Dutta, “Wireless Signal Source Localization by Unmanned Aerial Vehicle Using AERPAW Digital Twin and Testbed,” Proc. IFIP Networking Conference (IFIP Networking), January 2024, pp. 666-671.
InternalDigital Twins for Wireless NetworksLocalization & Source TrackingDataset 11
102. A. E. Morel, Z. Murry, K. Kostage, C. Qu, P. Calyam, “Enhancing drone video analytics security management using an AERPAW testbed,” IEEE INFOCOM 2024-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, January 2024, pp. 1–6.
ExternalSoftware-Defined Radio (SDR) & Testbed Development

2023

103. A. H. F. Raouf, S. J. Maeng, I. Guvenc, O. Ozdemir, M. Sichitiu, “Cellular Spectrum Occupancy Probability in Urban and Rural Scenarios at Various UAS Altitudes,” Proc. IEEE Personal, September 2023, pp. 2023. [Dataset-Rural, Dataset-Urban]
InternalAir-to-Ground (A2G) Channel Modeling & PropagationUAV-Based Spectrum Sensing & MonitoringDatasets 4, 6
104. H. Kwon, S. J. Maeng, I. Guvenc, “RF SSSL by an Autonomous UAV With Two-Ray Channel Model and Dipole Antenna Patterns,” Proc. IEEE Personal, September 2023, pp. 2023.
InternalAutonomous Trajectory & Mission PlanningLocalization & Source Tracking
105. A. H. F. Raouf, S. J. Maeng, I. Guvenc, O. Ozdemir, M. L. Sichitiu, “Spectrum Monitoring and Analysis in Urban and Rural Environments at Different Altitudes,” Proc. IEEE Veh. Technol. Conf. (VTC), June 2023. [Dataset-Rural, Dataset-Urban]
InternalUAV-Based Spectrum Sensing & MonitoringDatasets 4, 6
106. H. Kwon, I. Guvenc, “RF Signal Source Search and Localization Using an Autonomous UAV with Predefined Waypoints,” Proc. IEEE Veh. Technol. Conf. (VTC), June 2023.
InternalAutonomous Trajectory & Mission PlanningLocalization & Source Tracking
107. M. Drago, A. Gurses, R. W. Heath Jr., M. L. Sichitiu, M. Zorzi, “End-to-end Full-Stack Drone Measurements: A Case Study Using AERPAW,” Proc. IEEE ICC Workshops, May 2023.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationSoftware-Defined Radio (SDR) & Testbed Development
108. S. J. Maeng, O. Ozdemir, I. Guvenc, M. Sichitiu, R. Dutta, M. Mushi, “AERIQ: SDR-Based LTE I/Q Measurement and Analysis Framework for Air-to-Ground Propagation Modeling,” Proc. IEEE Aerospace Conference, March 2023. [LTE I/Q Dataset]
InternalAir-to-Ground (A2G) Channel Modeling & PropagationSoftware-Defined Radio (SDR) & Testbed DevelopmentDataset 3
109. A. Grote, E. Lyons, K. Thareja, G. Papadimitriou, E. Deelman, A. Mandal, P. Calyam, M. Zink, “Flypaw: Optimized route planning for scientific UAV missions,” Proc. IEEE Int. Conf. on e-Science (e-Science). IEEE, January 2023, pp. 1–10.
ExternalAutonomous Trajectory & Mission PlanningDataset 17
110. A. Sahin, M. L. Sichitiu, I. Guvenc, “A Millimeter-Wave Software-Defined Radio for Wireless Experimentation,” Proc. IEEE Int. Workshop on Computer and Networking Experimental Research using Testbeds (CNERT), January 2023. [60GHz-Dataset]
InternalMillimeter-Wave (mmWave) CommunicationsSoftware-Defined Radio (SDR) & Testbed DevelopmentDataset 9
111. S. J. Maeng, O. Ozdemir, H. Nandakumar, I Guvenc, M. Sichitiu, R. Dutta, M. J. Mushi, “Spectrum Activity Monitoring and Analysis for Sub-6 GHz Bands Using a Helikite,” Proc. IEEE Testbeds for Advanced Systems Implementation and Research (TASIR) Workshop, January 2023. [Dataset-Rural, Dataset-Urban]
InternalUAV-Based Spectrum Sensing & MonitoringDatasets 4, 6

2022

112. M. Funderburk, J. Kesler, K. Sridhar, M. L. Sichitiu, I. Guvenc, R. Dutta, T. Zajkowski, V. Marojevic, “AERPAW Vehicles: Hardware and Software Choices,” Proc. ACM Workshop on Micro Aerial Vehicle Networks, July 2022, pp. 37-42.
InternalSoftware-Defined Radio (SDR) & Testbed Development
113. M. Mushi, H. P. Joshi, R. Dutta, I. Guvenc, M. L. Sichitiu, T. Zajkowski, Y. Xin, M. J. Stealey, E. L. Scott, “The AERPAW Control Framework – Considerations for Resource Control and Orchestration for a Computing-supported Physical Research Platform,” Proc. SLICES Workshop: Scientific Instruments to Support Digital Infrastructure Science (hosted by IFIP Networking), June 2022.
InternalSoftware-Defined Radio (SDR) & Testbed Development
114. T. Samal, R. Dutta, I. Guvenc, M. L. Sichitiu, B. Floyd, T. Zajkowski, “Automating Operator Oversight in an Autonomous, Regulated, Safety-Critical Research Facility,” Proc. IEEE Int. Conf. Computer Commun. Netw. (ICCCN), June 2022.
InternalAutonomous Trajectory & Mission PlanningSoftware-Defined Radio (SDR) & Testbed Development
115. M. J. Mushi, H. P. Joshi, R. Dutta, I. Guvenc, M. Sichitiu, B. A. Floyd, T. Zajkowski, “The AERPAW Experiment Workflow – Considerations for Designing Usage Models for a Computing-supported Physical-Equipment Research Platform,” Proc. IEEE INFOCOM CNERT Workshop, June 2022.
InternalSoftware-Defined Radio (SDR) & Testbed Development
116. S. J. Maeng, I. Guvenc, M. Sichitiu, B. A. Floyd, R. Dutta, T. Zajkowski, O. Ozdemir, M. Mushi, “National Radio Dynamic Zone Concept with Autonomous Aerial and Ground Spectrum Sensors,” Proc. IEEE Int. Conf. Commun. (ICC) Workshops, May 2022.
InternalSoftware-Defined Radio (SDR) & Testbed DevelopmentUAV-Based Spectrum Sensing & MonitoringDataset 5
117. U. Bhattacherjee, E. Ozturk, O. Ozdemir, I. Guvenc, M. L. Sichitiu, H. Dai, “Experimental Study of Outdoor UAV Localization and Tracking using Passive RF Sensing,” Proc. ACM WiNTECH Workshop, February 2022. [Keysight Dataset]
InternalLocalization & Source TrackingRF-Based UAV Detection & IdentificationDataset 8
118. K. Powell, A. Yingst, T.F. Rahman, V. Marojevic, “Handover experiments with UAVs: software radio tools and experimental research platform,” Proc. 15th ACM Workshop on Wireless Network Testbeds, January 2022, pp. 39-45.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
119. K. Du, O. Mujumdar, O. Ozdemir, E. Ozturk, I. Guvenc, M. L. Sichitiu, H. Dai, A. Bhuyan, “60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios,” Proc. IEEE Radio Wireless Week, January 2022.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationMillimeter-Wave (mmWave) Communications

2021

120. A.S. Abdalla, A. Yingst, K. Powell, V. Marojevic, “Open-source software radio performance for cellular communications research with UAV users,” Proc. IEEE Vehicular Technology Conf. (VTC), October 2021, pp. 1-6.
Internal5G/6G & Next-Generation Aerial NetworksSoftware-Defined Radio (SDR) & Testbed Development
121. O. O. Medaiyese, A. Lauf, M. Ezuma, I. Guvenc, “Semi-Supervised Learning Framework for UAV Detection,” Proc. IEEE Personal, September 2021, pp. 2021. [Cardinal Drone Signal Dataset]
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & Identification

2020

122. K. Powell, A. S. Abdalla, D. Brennan, V. Marojevic, R. M. Barts, A. Panicker, O. Ozdemi, I. Guvenc, “Software radios for unmanned aerial systems,” Proc. ACM MobiSys 2020 – 1st Int. Workshop Open Software Defined Wireless Networks, June 2020, pp. 14-20.
InternalSoftware-Defined Radio (SDR) & Testbed Development

Thesis/Dissertation

2026

123. A. H. F. Raouf, “Improving Wireless Spectrum Utilization: Hybrid VLC-RF Networks and Sub-6 GHz Aerial Spectrum Measurements, Analysis, and Datasets,” Ph.D. dissertation, January 2026.
Internal5G/6G & Next-Generation Aerial NetworksUAV-Based Spectrum Sensing & Monitoring
124. D. Lee, “Ray Tracing-Based MIMO Link Analysis and Performance Evaluation of Asymmetric Links for UAV Networks,” Ph.D. dissertation, January 2026.
InternalAir-to-Ground (A2G) Channel Modeling & PropagationDigital Twins for Wireless Networks

2024

InternalAI & Machine Learning for Network OptimizationAutonomous Trajectory & Mission PlanningLocalization & Source Tracking

2022

126. J. R. Tivald, “Protected Region Radio Map Estimation,” MS Thesis, January 2022.
InternalUAV-Based Spectrum Sensing & Monitoring
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & Identification

2021

128. O. O. Medaiyese, “Signal Fingerprinting and Machine Learning Framework for UAV Detection and Identification,” Ph.D. dissertation, January 2021.
InternalAI & Machine Learning for Network OptimizationRF-Based UAV Detection & IdentificationDataset 2