CNS Core: Small: Robust and Decentralized Mobility and Connectivity Management in UAV-Enabled Aerial Wireless Networks

 

M. Cenk Gursoy (Principal Investigator) and Senem Velipasalar (Co-Principal Investigator)

 

Our primary objective in this project is to design and analyze robust, intelligent, and decentralized decision-making policies in UAV-enabled wireless networks. In particular, we have the following three major thrust areas:
  1. Decentralized Mobility and Connectivity Management in UAV-Enabled Wireless Networks
  2. Decentralized Resource Allocation in UAV-Enabled Wireless Networks
  3. Robustness and Attack Resilience in UAV-Enabled Wireless Networks

 

Publications

  1. J. Wang, Y. Zhu, Y. Hu, M. C. Gursoy, A. Schmeink,"Average Reliability-Optimal Offloading in Low-Latency Mobile Edge Computing Networks," IEEE Transactions on Mobile Computing, vol. 24, no. 7, pp. 5888-5902, July 2025.
  2. J. Zhao, Z. Lu, and M. C. Gursoy, “Coordinated UAV Trajectory Planning and Resource Allocation for Target Pursuit and Communication,” Proc. of the 2025 IEEE International Conference on Communications (ICC), Montreal, Canada, Jun. 2025.
  3. Z. Lu, M. C. Gursoy, C. K. Mohan, and P. K. Varshney, “Adaptive Resource Management in Cognitive Radar via Deep Deterministic Policy Gradient,” Proc. of the 2025 IEEE International Radar Conference (RADAR), Atlanta, GA, May 2025
  4. Y. Liu, Z. Lu, and M. C. Gursoy, "Data Collection With Multiple UAVs via Multi-Agent Reinforcement Learning," Proc. of the 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Barcelona, Spain, May 2025.
  5. Z. Lu, M. C. Gursoy, C. K. Mohan, and P. K. Varshney, "Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning," Proc. of the 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Barcelona, Spain, May 2025.
  6. Z. Lu, S. Kalia, M. C. Gursoy, C. K. Mohan, and P. K. Varshney, “Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management,” Proc. of the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, Apr. 2025.
  7. S. Xu, S. Bai, X. Wang, and M. C. Gursoy, "Deep Reinforcement Learning for Rechargeable UAVAssisted Data Collection from Dense Mobile Nodes," IEEE Access, vol. 13, pp. 28398-28407, 2025.
  8. Y. Yang and M. C. Gursoy, “Green Collaborative Inference in RIS-Assisted MEC Networks under Computing Backlog Constraints,” Proc. of the 2024 IEEE Global Communications Conference (Globecom), Cape Town, South Africa, Dec. 2024.
  9. S. Xu, Y. Zhang, X. Wang, and M. Cenk Gursoy, “Federated Multi-Agent Reinforcement Learning for AoI Minimization in UAV-Enabled IoV-MEC Systems,” Proc. of the 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Henan, China, Nov. 2024.
  10. Z. Lu, X. Wang and M. C. Gursoy, "Trajectory Design for Unmanned Aerial Vehicles via Meta-Reinforcement Learning," IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Hoboken, NJ, USA, 2023, pp. 1-6, doi: 10.1109/INFOCOMWKSHPS57453.2023.10226090.
  11. Y. Shi, Y. E. Sagduyu, T. Erpek and M. C. Gursoy, "Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning," 2022 IEEE Future Networks World Forum (FNWF), Montreal, QC, Canada, 2022, pp. 397-402, doi: 10.1109/FNWF55208.2022.00076.
  12. Y. Shi, Y. E. Sagduyu, T. Erpek and M. C. Gursoy, "How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning," in IEEE Open Journal of Vehicular Technology, vol. 4, pp. 181-192, 2023, doi: 10.1109/OJVT.2022.3229229.
  13. F. Wang, M. C. Gursoy and S. Velipasalar, "Sensitivity of Dynamic Network Slicing to Deep Reinforcement Learning Based Jamming Attacks," Proc. of the 2023 IEEE 34th Annual Inter- national Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
  14. X. Wang and M. C. Gursoy, "Resilient Path Planning for UAVs in Data Collection Under Adversarial Attacks," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2766-2779, 2023, doi: 10.1109/TIFS.2023.3266699.
  15. Y. Yang and M. C. Gursoy, "Reliability-Oriented Designs in UAV-assisted NOMA Transmission with Finite Blocklength Codes and Content Caching," 2023 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, USA, 2023, pp. 1-8, doi: 10.1109/ICCCN58024.2023.10230161.
  16. R. Zuo, Z. Wang, C. E. Caicedo Bastidas, M. Cenk Gursoy, A. Solomon and Q. Qiu, "A Predictive Control Framework for UAS Trajectory Planning Considering 4G/5G Communication Link Quality," 2023 Integrated Communication, Navigation and Surveillance Conference (ICNS), Herndon, VA, USA, 2023, pp. 1-10, doi: 10.1109/ICNS58246.2023.10124315.